Advancing the safe and responsible use of AI in medicine.
AIH brings clinicians, researchers, medical scientists, ethicists and students together so that every AI tool in patient care is transparent, fair, safe and centered on the patient.
AIH Virtual International Summit on Artificial Intelligence (VISA-IH) 2026
Scientific forum · Virtual
Ethical Use of AI in Medicine
November 14–December 1, 2026 · Online. Eighteen days on the ethical use of AI in medicine, examined through AIH's R‑I‑S‑K principles: Responsible, Innovative, Safe and Knowledgeable. Daily themes will be announced soon.
Artificial Intelligence for Healthcare (AIH) is an emerging international organization for everyone who develops, uses, studies or regulates AI in healthcare.
Why AIH was founded
Artificial intelligence is entering clinical practice faster than the ethical frameworks needed to govern it.
Algorithms now read scans, flag patients at risk and suggest treatments. Yet the questions that matter most to patients are often left unanswered: whether the tool was tested fairly, who is accountable when it is wrong, and whether its use was explained to the person it affects.
Dr. Elangovan Krishnan, a physician and engineer, founded Artificial Intelligence for Healthcare (AIH) to close that gap, so that AI in medicine is developed and used responsibly, with the patient at the center of every decision.
The needs that led to AIH
Ethical guardrails
AI tools can reach patients before shared standards exist for consent, privacy, bias and accountability. Medicine needs clear, practical principles that keep pace with the technology.
One table for every discipline
Clinicians, researchers, technologists, ethicists and legal and policy experts often work on AI separately. Sound decisions need all of them in the same conversation.
The clinician in command
AI should support clinical judgment, not replace it. Responsibility for a patient's care must stay clear, with every tool open to question by the people who use it.
Fairness across the world
A model built for one population can fail another. Standards for health AI must work across countries, health systems and resource settings, and protect the patients most at risk of bias.
How AIH responds
AIH brings together clinicians, researchers, medical scientists, ethicists and students from around the world to set out how AI should be used in patient care. Its work is guided by the R‑I‑S‑K principles: Responsible, Innovative, Safe and Knowledgeable.
Through its Virtual International Summit on Artificial Intelligence (VISA-IH), AIH invites faculty and experts worldwide to write and adopt a shared consensus statement on the ethical use of AI in medicine.
To advance the responsible, innovative, safe and knowledgeable use of artificial intelligence in medicine, with the patient at the center of every decision.
Vision
Healthcare in which every AI tool is transparent, unbiased and accountable, and trusted by clinicians and patients alike.
Our framework
R‑I‑S‑K: Responsible Innovation and Safe Knowledge in Healthcare AI
Aims & Objectives
What AIH works to achieve
AIH aims to keep artificial intelligence in healthcare patient-centered, protecting the dignity, consent, privacy and wellbeing of every patient. We work toward AI that is unbiased, inclusive and equitable across all patient groups, and whose methods, limits and use are transparent to clinicians and patients alike. Every AI-supported decision should rest on clear human accountability, sound governance, legal compliance and secure, data-conscious practice.
To achieve this, AIH supports tools that are needs-driven, clinically grounded and backed by evidence. We build knowledge of AI in medicine among clinicians, researchers, medical scientists and students, and bring international experts together through the Virtual International Summit on Artificial Intelligence (VISA-IH) to develop shared consensus statements on the ethical use of AI in patient care.
Dr. Elangovan Krishnan
MBBS, PGDHM, M.Tech., MS, PhD
Founder & Executive Director
AI in Healthcare
Bio
Dr. Elangovan Krishnan is an Indian-American physician-scientist, biomedical engineer and healthcare executive based in Houston, Texas, and the Founder & Executive Director of Artificial Intelligence for Healthcare (AIH).
He is best known for his work at the intersection of medicine and artificial intelligence. He also serves as Executive Director of AIM Doctor, an organization dedicated to AI-driven healthcare innovation and precision medicine.
Over a career spanning more than 28 years, he has established himself as an immunologist, a microbiome expert and a research mentor.
Education
MBBSMedicine and Surgery · Madras Medical College (Dr. M.G.R. Medical University), 1998
M.Tech.Biomedical Engineering · Indian Institute of Technology (IIT) Bombay, 2000–2002
PGDHMPostgraduate Diploma in Healthcare Management
MSMaster of Science
PhDDoctor of Philosophy
ResearchAdvanced doctoral research, University of Louisville
AIH Consortium
The institutions and organizations that work with AIH.
AIM
AIM Doctor
An organization that uses artificial intelligence to improve diagnostic accuracy and support healthcare professionals worldwide. Its work includes AI models for early disease detection and prognosis, medical chatbots and communication tools, and AI-powered wellness tools for nutrition and stress management.
A shared consensus statement on the ethical use of AI in medicine.
Through its Virtual International Summit on Artificial Intelligence (VISA-IH), AIH invites faculty and experts worldwide to write and adopt a shared consensus statement on the ethical use of AI in medicine, built on AIH's R‑I‑S‑K principles: Responsible, Innovative, Safe and Knowledgeable.
Eighteen days on the responsible, innovative, safe and knowledgeable use of AI in medicine.
VISA-IH 2026 brings clinicians, researchers, medical scientists, students and policymakers together online to ask a practical question: how do we use AI in medicine ethically, safely and fairly?
VISA-IH 2026 · Contest · Round 1
Ethical Use of Artificial Intelligence in Healthcare
One contest, open to fellows, residents, medical graduates and medical students. Each contestant submits both a 300-word essay in Lancet style and a 3-minute video.
The top 3 in each specialty advance to Round 2 and work with the faculty of their specialty. In Round 2, the best three presentations across all specialties receive medals and cash prizes.
The last date is November 8, 2026, 12:00 noon US Central Time.
The Summit runs from Saturday, November 14, to Tuesday, December 1, 2026, opening with a ceremony on November 14 and closing with a ceremony on December 1. Sessions begin at 9:00 AM US Central Time (CST, UTC−6). The daily themes and session details will be announced on this page.
VISA-IH 2026
Speakers
Clinicians and researchers speaking at the AIH Virtual International Summit on Artificial Intelligence, November 14–December 1, 2026.
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VISA-IH 2026
Organizers
VISA-IH 2026 is organized by Artificial Intelligence for Healthcare (AIH) and its Organizing Committee.
Hepatobiliary Surgery, General SurgeryCreighton University School of Medicine, CHI Health Creighton University Medical Center – Bergan MercyView profile →
Joshua Cornman-Homonoff, MD
Interventional RadiologyYale School of Medicine, West Haven Veterans Affairs Medical CenterView profile →
Raja Shaikh, MBBS, DNB, MD
Pediatric Interventional Radiology, Interventional OncologyHarvard Medical School, Dana-Farber Cancer Institute, Boston Children's HospitalView profile →
Bhavya Yarlagadda, MD
Hospital Medicine, Internal MedicineMUSC Health Lancaster Medical CenterView profile →
Komaldeep Kaur, MD
Hospital Medicine, Internal MedicineProgram Director, Transitional Year Residency Program, Aiken Regional Medical CentersView profile →
VISA-IH 2026
Media Team
The team behind the VISA-IH 2026 website, designs, social media, editorial work and book.
An interdisciplinary resource examining the foundations, technologies, clinical applications, research methods, safety considerations, ethics, and responsible implementation of artificial intelligence in radiology.
Call for chapter reviewers · Review period November 1–10, 2026
AIH Academic Book Initiative
Effective Implementation of AI in Radiology
Exploring how artificial intelligence can be developed, evaluated, translated into clinical practice, and implemented safely and responsibly across radiology.
AIH Academic Book InitiativeEffective Implementation of AI in Radiology6 Parts · 30 ChaptersArtificial Intelligence for Healthcare
About the book
Effective Implementation of AI in Radiology brings clinical, technical, methodological, ethical and legal perspectives together in one resource. Its 30 chapters, arranged in six parts, follow artificial intelligence in radiology from first principles to responsible use in patient care:
Part IRadiology's origins and clinical foundations
Part IIArtificial intelligence, machine learning and deep learning for medical professionals
Part IIIAI technology, imaging modalities and radiology workflows
Part IVResearch methodology and critical evaluation
Part VOrgan-system and disease-specific applications
Part VIClinical translation, safety, ethics and accountability
Intended reviewer expertise
AIH invites appropriately qualified experts to review chapters that match their knowledge and experience, including:
Radiology and diagnostic imaging
Artificial intelligence and machine learning
Deep learning and medical image analysis
Computer science and computer engineering
Data science and medical informatics
Clinical medicine
Research methodology and evidence synthesis
Medical ethics and responsible AI
Healthcare law, regulation and liability
Healthcare implementation and related disciplines
Reviewer appointments and chapter assignments are confirmed by the AIH editorial team. Applying does not by itself guarantee an appointment or publication credit.
Editorial and media support
AIH will coordinate the review process and provide media-team support for suitable illustrations, diagrams, visual explanations, and other chapter visuals.
Review timeline
Review periodNovember 1–10, 2026
The book is planned for release at RSNA 2026.
Table of contents
Part IRadiology, Its Origins, and Clinical Foundations2 chapters
01From Röntgen to Digital and Hybrid Imaging: The Evolution of Radiology
02How Images Become Clinical Evidence: Imaging Physics, Modalities, Contrast, Informatics, and Workflow
Part IIArtificial Intelligence for Medical Professionals3 chapters
03Artificial Intelligence and Machine Learning for Clinicians: Concepts, Learning Paradigms, and Model Development
04Deep Learning for Medical Images: Neural Networks, Convolutional Networks, Attention, Transformers, and Segmentation
05Data-Centric, Multimodal, and Generative AI: Self-Supervision, Transfer, Federated Learning, Foundation Models, Large Language Models, and Generalization
Part IIIAI Technology, Imaging Modalities, and Radiology Workflows3 chapters
06AI at the Scanner: Acquisition, Protocoling, Reconstruction, Denoising, Super-Resolution, Dose, and Quality Assurance
07AI for Image Interpretation: Detection, Classification, Segmentation, Quantification, Radiomics, and Imaging Biomarkers
08AI in the Reading Room: Triage, Prioritization, Reporting, Natural Language Processing, Large Language Models, Operations, and Human–AI Collaboration
Part IVResearch Methodology and Critical Evaluation3 chapters
09Evaluating Diagnostic and Predictive AI: Study Design, Reference Standards, Accuracy, Calibration, and External Validation
10From Reader Studies to Clinical Trials: Human–AI Comparisons, Pragmatic Evaluation, Implementation Science, Health Economics, and Surveillance
11Evidence Synthesis and Research Standards: Systematic Review, Meta-analysis, Reporting Guidelines, and Risk-of-Bias Appraisal
Part VOrgan-System and Disease-Specific Applications14 chapters
12Neuroimaging and the Central Nervous System: Brain, Stroke, Hemorrhage, Tumor, Neurodegeneration, and Spine
13Head, Neck, and Maxillofacial Imaging: Oncology, ENT, Dental, and Craniofacial Applications
14Thoracic and Pulmonary Imaging: Chest Radiography, Lung CT, Infection, Interstitial Disease, and Lung Cancer Screening
15Cardiac and Vascular Imaging: Coronary Disease, Cardiac Function, Aorta, Peripheral Vessels, and Cerebrovascular Imaging
16Breast Imaging: Screening, Diagnosis, Risk, Density, Tomosynthesis, Ultrasound, and MRI
17Gastrointestinal, Hepatobiliary, Pancreatic, and Splenic Imaging
18Genitourinary Imaging: Kidney, Urinary Tract, Prostate, Testis, and Male Pelvis
19Gynecologic and Obstetric Imaging: Uterus, Adnexa, Placenta, Fetal Imaging, and Maternal Safety
20Musculoskeletal Imaging: Trauma, Degeneration, Inflammation, Sports Injury, Bone Tumors, and Quantitative MRI
21Pediatric and Congenital Imaging: Age-Specific Models, Radiation, Rare Disease, and Developmental Anatomy
22Emergency Radiology and Trauma: Time-Critical Detection, Triage, Whole-Body Imaging, and Acute Workflow
23Oncologic Imaging and Radiomics: Detection, Staging, Prognosis, Treatment Response, Radiogenomics, and Opportunistic Biomarkers
24Nuclear Medicine and Molecular Imaging: PET, SPECT, Hybrid Imaging, Reconstruction, Quantification, and Theranostics
Reviewer applications are currently closed. For questions, please email aihealthceo@gmail.com.
Application received
Thank you for your interest in reviewing Effective Implementation of AI in Radiology. Your application has been received. The AIH editorial team will review your information and contact you regarding the next steps.
Ethical Use of Artificial Intelligence in Healthcare
The contest invites early-career physicians and medical trainees to examine the ethical use of artificial intelligence in healthcare, within a specialty of their choosing.
There is one contest. Each contestant must submit both a 300-word essay in Lancet style and a 3-minute video.
This is Round 1. The top 3 in each of 25 specialties advance to Round 2.
One contest, one entry in two parts. Your entry must include both parts below.
Part 1
Essay
300 words · Lancet style
The essay describes the entrant's idea on the ethical use of AI in healthcare.
It must be no longer than 300 words and written in Lancet style.
AI-generated or plagiarized text leads to automatic disqualification.
Part 2
Video
3 minutes · Portrait mode
The video must be no longer than 3 minutes and recorded in portrait (vertical) mode.
It may be a recording of the entrant speaking, or a video presentation without a speaker. It may be made with any software, including AI tools, but it must be the entrant's original creation.
It must be shared only through a Google Drive link and must not have been published on YouTube or any other platform.
Round 2 prizes
Place
PKR
INR
Gold
25,000
10,000
Silver
20,000
7,500
Bronze
12,500
5,000
Awarded in Round 2 to the best three presentations across all specialties, with medals. Each prize is payable in one of the two currencies listed.
Eligibility
The contest is open to fellows, residents, medical graduates and medical students.
How the rounds work
Round 1: the top 3 entrants in each of 25 specialties advance to Round 2 and work with the faculty of their specialty.
Round 2: the best three presentations across all specialties receive medals and cash prizes.
Last date November 8, 202612:00 noon, US Central Time
Open toMedical students, graduates, residents and fellows
Each entryA 3-minute portrait video and a 300-word essay
DeadlineNovember 8, 2026 · 12:00 noon US Central Time
1Competition theme
The competition invites participants to present original, evidence-informed ideas on the Ethical Use of Artificial Intelligence in Healthcare, choosing a topic relevant to any medical specialty.
Participants are encouraged to explore ethical challenges in AI-driven healthcare, including patient safety, privacy, consent, bias, accountability, transparency and equitable access, drawing on relevant clinical, legal, scientific or educational contexts.
Specialties
Cardiology
Neurology
Medical and Radiation Oncology
Radiology and Interventional Radiology
Pathology and Hematology
Laboratory Medicine
Molecular Diagnostics
Clinical Genetics
Pediatrics and Neonatology
Obstetrics and Gynecology
Psychiatry
Emergency Medicine
Critical Care Medicine
Nephrology
Endocrinology
General Surgery (including Orthopedics)
Neurosurgery
Geriatric Medicine
Preventive and Social Medicine / Community Medicine
Family Medicine
Clinical Nutrition and Dietetics
Pharmacology and Clinical Trials
Microbiology
Hospital Administration
Medical Biochemistry
Other
2Eligibility
The competition is open to medical students, medical graduates, postgraduate residents and fellows.
Each participant must provide accurate information about their name, professional or academic status, institution and contact details during registration.
Participants must comply with all eligibility and submission requirements specified by the organizers.
Each participant may submit more than one entry, with a maximum of one entry per medical specialty.
The organizers reserve the right to verify eligibility and to request supporting documentation where reasonably necessary.
Organizing team participation
Members of the organizing team may also take part. They are not eligible for the general competition prizes. They are evaluated separately in an organizing-team category and are eligible for its designated presentation opportunities and awards, under criteria set by the organizers.
3Submission requirements
Every entry must include both of the following components.
Component A
Video presentation
Duration
Up to 3 minutes
Orientation
Portrait (vertical), preferably 9:16
Content
A clear, coherent and engaging presentation of your original idea
Format
You may appear on camera, narrate a voice-over, or present visual and text content only
Sharing
Upload to Google Drive and set sharing to "Anyone with the link"
Do not publish the video on YouTube or any other public platform before submission.
Any software, including AI tools, may be used, provided the video is your original creation.
You remain responsible for the originality, accuracy, permissions and attribution of all content in your submission.
Component B
Written submission
Length
Up to 300 words
Style
Professional academic style, similar to The Lancet
Where
Entered directly in the essay field of the registration form, in complete sentences
Give a concise, logically structured and evidence-informed explanation of your idea: its central message, its ethical significance and its potential applications in healthcare.
Be scientifically accurate, clear, original, grammatically correct and impactful.
Avoid unnecessary words, common AI-generated phrases and overly decorative language.
Both components are mandatory. Entries missing either component, or failing to meet the essential submission requirements, may be declared ineligible.
4Additional guidelines
Focus
Submissions must directly address the ethical implications of artificial intelligence in the participant's chosen healthcare domain.
Originality and integrity
Do not submit plagiarized work, copied scripts, unauthorized reproductions or another person's work presented as your own.
Fabricated references, invented research results, misleading clinical claims, unauthorized use of patient information and deceptive manipulation of evidence are prohibited.
The organizers may use appropriate originality checks and may ask for clarification about authorship or the use of third-party material.
Substantiated plagiarism, fraudulent authorship, deliberate misrepresentation or serious violations of these requirements may result in disqualification.
Professional conduct
Submissions must maintain strict professional and ethical standards, avoiding political, communal or discriminatory commentary, hate speech and content that incites conflict.
Files and deadline
Follow the submission instructions provided by the organizers exactly.
Make sure your files are complete, accessible and playable or readable by the judging panel.
The submission deadline is November 8, 2026, at 12:00 noon US Central Time. Participants are responsible for submitting before the deadline.
Late, incomplete, corrupted, inaccessible or incorrectly submitted entries may not be considered.
The organizers may reject duplicate entries and entries that do not comply with the published requirements.
Patient information and personal data
The organizers will not knowingly authorize the public release of identifiable patient information without an appropriate lawful basis and the necessary permissions.
Personal information collected during registration and submission is used for competition administration, eligibility verification, judging, communication and award disbursement, as applicable.
Changes to the competition
The organizers reserve the right to make necessary administrative changes, modify the program or cancel the competition where circumstances beyond their reasonable control require it. Material changes affecting eligibility, scoring, deadlines or awards will be communicated to participants through official channels.
5Publication and social-media promotion
Participants must not publish their video or written submission on personal or other public platforms. AIH will publish entries on its official social-media accounts, and participants may then share those official posts within their networks.
Social-media marks are awarded only for engagement on the official posts published by AIH. Engagement on personal posts, reposts or any other secondary posts is not counted.
The organizers may publish eligible entries, excerpts or promotional materials on official channels during a designated engagement period. Engagement outside that period does not count.
Purchased engagement, automated activity, fake accounts, coordinated artificial engagement, engagement exchanges and any other attempt to manipulate scoring are prohibited.
The organizers may exclude demonstrably fraudulent engagement and may disqualify entries for material or deliberate manipulation.
6Evaluation
Initial review. The organizing team reviews every entry. Entries with gross errors or rule violations are rejected and excluded from publication and judging.
Two assessments. The video is assessed on social-media engagement, content quality and presentation effectiveness. The written submission is evaluated independently by a judging panel through blinded assessment, to minimize bias.
Weighting. Social-media engagement and the quality of the written submission carry significant weight in the final score.
Decisions. The decisions of the judges are final.
7Rounds, awards and results
Round 1
Open to all eligible participants
Submit a video and an essay in any specialty. The top three in each specialty advance to Round 2 and work with the faculty of their specialty.
Round 2
Across all specialties
The best three presentations from all specialties are awarded medals and cash prizes.
Prize amounts and currencies are published on the contest page. Any further conditions will be announced by the organizers.
Participants must provide accurate information needed for award verification and disbursement.
Any applicable taxes, transfer charges, eligibility restrictions or payment requirements will be communicated to award recipients in line with applicable law.
Awards are not transferable.
8Copyright and permission to use submissions
By entering, participants allow the organizers to review and assess their submissions for competition purposes.
By participating, authors allow the organizers to compile and publish submitted work, in whole or in part, as a book, edited volume, journal article, research paper, conference publication or other academic or educational publication related to the event. This may include editing, formatting, reproducing, distributing and disseminating the work in print or electronic formats. Submitting an entry constitutes acceptance of these publication terms.
The organizers decide the format of publication, and whether contributors are acknowledged by name or submissions are published collectively or anonymously.
9Conduct, decisions and changes to the rules
Disqualification. Any participant who does not follow these Rules and Regulations or the standards of ethical conduct, including plagiarism, false information, or fabricated data or references, may be disqualified at any stage of the contest by the judges or the contest administration, with or without prior notice.
Final decisions. The decisions of the judges on evaluation, rankings and awards are final.
Changes to the rules. The contest administration reserves the right, in consultation with the judges, to amend, clarify or add to these Rules and Regulations as needed for the fair, proper and ethical conduct of the contest. Changes take effect when they are posted on this page, and participants affected by a change will be informed.
Acceptance. By submitting an entry, participants confirm that they have read and agree to these Rules and Regulations.
Questions about membership, partnership, media or VISA-IH 2026? We'd like to hear from you.
Connect with us!
Thank you!
Frequently Asked Questions
Common questions about AIH and the Virtual International Summit for Artificial Intelligence in Healthcare (VISA-IH) 2026.
What is AIH?
Artificial Intelligence for Healthcare (AIH) is an emerging international organization for everyone who develops, uses, studies or regulates AI in healthcare. Its goal is the safe and responsible use of AI in medicine, with the patient at the center of every decision. AIH will serve as a regulatory body dedicated solely to the ethical use of artificial intelligence in medicine.
Who founded AIH?
AIH was founded by Dr. Elangovan Krishnan, a physician and engineer, who serves as its Founder & Executive Director.
The Virtual International Summit for Artificial Intelligence in Healthcare (VISA-IH) 2026 is AIH's international scientific forum on the ethical use of AI in medicine. About the Summit.
When is the Summit?
November 14–December 1, 2026. It opens with a ceremony on November 14 and closes with a ceremony on December 1. Sessions begin at 9:00 AM US Central Time (CST, UTC−6).
Who attends the opening ceremony?
The opening ceremony on November 14 brings together deans, vice chancellors and distinguished faculty, along with prominent professionals from many fields.
Where does the Summit take place?
Online. VISA-IH 2026 is fully virtual.
Is there a registration fee?
No. VISA-IH 2026 is free to attend.
How do I register?
Complete the Event Registration form. You will receive a confirmation email, and event details will be sent to the same address.
Who can attend the Summit?
Everyone with an interest in AI in healthcare. The Summit is not limited to doctors and healthcare professionals: scientists, computer and data engineers, IT professionals, ethicists, healthcare executives and CEOs, AI experts and members of the public are all welcome.
Is anyone not eligible to participate?
To keep the Summit impartial and free of conflicts, religious leaders, political leaders and military officials do not take part. Government officials who are not political leaders are welcome, provided they do not promote any political party.
Which medical specialties are included?
Every medical specialty. The Summit will hold a panel discussion for each specialty, with at least 50 panel discussions in total.
Is a panel discussion the same as manuscript writing?
No. They are separate activities. A participant can take part in a panel discussion without being involved in writing the manuscript.
Who are the speakers and organizers?
See the Speakers and Organizers pages. The Summit is organized by AIH, led by Dr. Elangovan Krishnan, with its faculty Organizing Committee.
What is the Ethical AI Consensus session?
Working groups draft statements on the ethical use of AI in medicine. Registered participants comment on the drafts and vote on each statement at the close of the Summit. The adopted statement will be published on this website and in the Summit proceedings.
How can I become a speaker?
Complete the Speaker Registration form and select the dates you are available. The Organizing Committee will review your registration and contact you by email.
Do faculty speakers need to submit a biography?
Yes. Each faculty member who wishes to join the Summit must submit a biography before taking part. It helps us confirm suitability as a speaker and prepare promotional materials for the event.
What happens between November 1 and November 14?
This is the preparation period. Faculty members can rehearse their manuscript presentations and plan how to present them most effectively.
How can I join a research project?
Use the Project Registration Form. Choose your skills and one research field. Please register only if you can commit time over the next month. See the Research Collaboration page for eligibility and the specialty WhatsApp groups.
How can I join the AIH team?
Use the Join Our Team form to help with the website, social media, design or academic outreach.
Hospitalist, MUSC Health Lancaster Medical Center, Lancaster, South Carolina
Biography
Dr. Bhavya Yarlagadda is a hospitalist and internal medicine physician at MUSC Health Lancaster Medical Center in Lancaster, South Carolina. She is board certified in internal medicine by the American Board of Internal Medicine.
She takes a collaborative approach to hospital care, working closely with patients and their families. Her clinical interests include academic inpatient hospital medicine, evidence-based care transitions, patient safety and healthcare quality. She is also active in cardiovascular research and in teaching medical residents.
She joins VISA-IH 2026 as a speaker.
Education & Training
Medical schoolKakatiya Medical College (2016)
ResidencySt. Elizabeth Youngstown Hospital (2022)
Board certificationInternal Medicine, American Board of Internal Medicine (2022)
Privacy policy
Last updated: October 26, 2026
Artificial Intelligence for Healthcare (AIH) respects your privacy. We collect only the information we need to run our events, programs and competitions, we never sell it, and we use it only for the purposes described here.
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This website, a-ih.com, is operated by Artificial Intelligence for Healthcare (“AIH”, “we”, “us”). For any privacy question or request, contact us at aihealthceo@gmail.com.
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We rely on your consent when you submit a form, and on our legitimate interest in organizing our educational activities safely. You may withdraw consent at any time; this does not affect processing already carried out.
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We do not sell, rent or trade personal information. We share it only:
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We keep contact messages, registrations, applications and competition entries only for as long as we need them to run the activity you joined and to handle follow-up questions. After that we delete or anonymize the information, unless the law requires us to keep it longer. Published competition work remains part of the public record.
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Submissions are stored as private records accessible only to authorized AIH administrators. The site uses encrypted connections (HTTPS), validates every upload, and limits repeated submissions. No system is completely secure, but we work to protect your information and will act promptly if a problem occurs.
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Our programs are designed for students and professionals. We do not knowingly collect information from children under 18. Participants under 18 should have the consent of a parent or guardian before registering.
Changes to this policy
We may update this policy as our activities change. We will post the new version on this page with a revised date, and notify registered participants of significant changes.
AIH believes that knowledge about AI in medicine should be open to everyone, including people with disabilities. We aim for this website to meet the Web Content Accessibility Guidelines (WCAG) 2.2 at Level AA.
What we have done
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If you find any barrier on this website, or need information in a different format, please tell us. Email aihealthceo@gmail.com or use our contact form, and describe the page and the problem. We aim to respond within 5 working days and to provide the content you need in an accessible form.
Our ongoing commitment
We test the site with keyboard navigation, screen readers and automated checks, and review accessibility whenever we add new features. This statement was last reviewed on October 18, 2026.
Terms of use
Last updated: October 26, 2026
These terms govern your use of a-ih.com. By using the website, you agree to them. If you do not agree, please do not use the site.
About AIH
Artificial Intelligence for Healthcare (AIH) is an organization dedicated solely to the ethical application of AI in healthcare. Our aim is to foster the ethical, fair and responsible use of AI in the healthcare sector.
All content on this website, including talks, videos, articles and consensus statements, is provided for education and professional discussion only. It is not medical advice and does not replace the judgment of a qualified clinician. Never use information from this site to diagnose or treat a patient without appropriate professional assessment. In an emergency, contact your local emergency services.
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The information you submit must be accurate and your own. Submitting a registration or application does not guarantee acceptance. Places, speaking slots and roles are offered at AIH’s discretion.
Competitions
Student competitions are governed by the Contest Rules & Regulations published on this website, which form part of these terms. By entering, you confirm that your entry is your own original work and that you hold the rights to everything it contains. You also grant AIH the publication rights described in those rules.
Intellectual property
Unless stated otherwise, the AIH name, logo, website design, text, graphics and videos belong to AIH or its contributors. You may view, share links to, and quote short passages from the site for non-commercial, educational purposes with clear credit to AIH. Any other use, including modifying the AIH logo or implying AIH endorsement, requires our written permission.
Speakers and authors keep the rights to their own work, subject to any license they grant AIH.
Third-party links and content
The site links to and embeds content from other services, including YouTube, Instagram, LinkedIn and Google Drive. We are not responsible for their content, availability or privacy practices, and their own terms apply.
Accuracy and availability
We work to keep information accurate and current, but event details, dates and speakers may change. We provide the website “as is” and do not guarantee that it will be uninterrupted or free of errors.
Limitation of liability
To the fullest extent permitted by law, AIH, its organizers and volunteers are not liable for any indirect or consequential loss arising from your use of the website or reliance on its content. Nothing in these terms limits liability that cannot be limited by law.
Privacy
Our Privacy policy explains how we handle personal information and forms part of these terms.
Changes
We may update these terms from time to time, and the current version will always be posted here.
