Program Overview

1. Breakfast Workshops
Start Your Day Where the Ideas Are
Grab a coffee, pull up a chair, and get straight into focused, small-group discussion before the main agenda begins. It's the most efficient hour of your conference day: real insight, real people, real appetite.
What to expect:
- Small-group format designed for genuine discussion, not just presentation
- A deep dive into topics that are timely, practical, and relevant to what's happening in AI and healthcare right now
- A relaxed start to the day that still delivers serious substance
See the agenda for session details

2. Sub Specialty Networking

Find Your People
With clinicians from over 50 subspecialties under one roof, AIMed26 gives you something most conferences can't: a room full of people who actually understand the specific challenges of your field.
Our sub-specialty breakout sessions bring together colleagues from more than 20 subspecialty and domain areas to talk shop - sharing what's working, what isn't, and where AI is actually moving the needle in your corner of medicine. Less small talk, more the kind of conversation you'll still be thinking about next week.
Why it matters:
- Connect directly with peers navigating the same clinical and technical questions you are
- Trade real-world experience on AI implementation within your specialty
- Build relationships that outlast the conference itself
| Thursday sessions - 18:00 to 19:30 | Friday sessions - 10:30 to 12:00 | |
|---|---|---|
CEO's |
OBGYN |
|
Medical Education |
Primary Care |
|
Healthcare Operations & Administration |
Neurosciences & Mental Health |
|
Informatics |
Emergency, Anaesthesia & ICU |
|
Medical Devices |
Pediatrics & Neonatology |
|
Students |
Dermatology & Pathology |
|
Medical Trainees |
Surgeons & Orthopaedics |
|
Women in Health AI |
Oncology |
|
Chief Financial Officers |
Radiology |
|
Abstract Finalists & Judges |
Cardiology |
|
AI in Pharma |
Endocrinology |
|
Women's Health |
Nurse Practitioners |
|
Nursing |
||
|
Thursday sessions: 18:00 to 19:30
CEO's |
Medical Education |
Healthcare Operations & Administration |
Informatics |
Medical Devices |
Students |
Medical Trainees |
Women in Health AI |
Chief Financial Officers |
Abstract Finalists & Judges |
AI in Pharma |
Women's Health |
Friday sessions: 18:00 to 19:30
OBGYN |
Primary Care |
Neurosciences & Mental Health |
Emergency, Anaesthesia & ICU |
Pediatrics & Neonatology |
Dermatology & Pathology |
Surgeons & Orthopaedics |
Oncology |
Radiology |
Cardiology |
Endocrinology |
Nurse Practitioners |
Nursing |
Physician Associates / PAs |
3. Modules
Build the Agenda That's Right for You
AIMed26 isn't one-size-fits-all. Choose from a range of modules covering the full breadth of AI in healthcare.
Each module is designed to let you personalize your time at AIMed26, so whether you're deep in the technical side of AI or focused on strategy and implementation, you'll find sessions that speak directly to your goals.
Strategy, implementation, governance, ethics, equity, accountability, liability and patient safety run through every module, surfacing in the panel questions, case studies, and peer discussions that ground each session in real deployment, not just theory.
This year's modules include:
Real-world applications and case studies exploring AI's role in women's health outcomes and care delivery, with a direct look at where women's health is most underserved and how equity and bias shape the answer.
Real-world applications and case studies exploring AI's role in women's health outcomes and care delivery, with a direct look at where women's health is most underserved and how equity and bias shape the answer.
The practical journey from model to bedside - including the hard questions of who owns healthcare data, what breaks AI in the field, and whether healthcare can build AI without bias.
The practical journey from model to bedside - including the hard questions of who owns healthcare data, what breaks AI in the field, and whether healthcare can build AI without bias.
What it actually takes to prepare a health system for AI at scale - the strategy, infrastructure, governance, and culture change behind genuine implementation.
What it actually takes to prepare a health system for AI at scale - the strategy, infrastructure, governance, and culture change behind genuine implementation.
Applications of AI in neonatal care, including predicting patient deterioration and the safety and ethical questions of building trust in AI-supported decisions for the smallest, most vulnerable patients.
Applications of AI in neonatal care, including predicting patient deterioration and the safety and ethical questions of building trust in AI-supported decisions for the smallest, most vulnerable patients.
How AI is reshaping nursing workflows and hospital operations - the ROI case for AI, the administrative burden it could remove, and the ethical line between easing workload and dehumanizing it.
How AI is reshaping nursing workflows and hospital operations - the ROI case for AI, the administrative burden it could remove, and the ethical line between easing workload and dehumanizing it.
AI's expanding footprint in pharmaceutical research, development, and delivery - and a candid look at who profits when AI speeds up drug development.
AI's expanding footprint in pharmaceutical research, development, and delivery - and a candid look at who profits when AI speeds up drug development.
The frameworks, safeguards, and liability questions shaping safe, accountable AI deployment - including who's responsible when AI gets it wrong.
Whether current AI governance structures are actually protecting patients or just adding friction, and what effective, ethics-centred oversight looks like in practice.
Case studies and panels on scaling AI in children's hospitals, and the consent, safety, and ethical questions of earning family trust in pediatric AI.
Protecting healthcare systems and patient data as AI adoption expands the attack surface — including where your own AI attack surface is biggest.
Where human judgment must remain central, how healthcare AI differs around the world, and what the industry can learn about ethics and autonomy from outside healthcare.
How AI is being woven into diagnosis and treatment - where it earns clinician trust, what happens when AI and clinical judgment disagree, and where care goes wrong even when the AI is right.
Session times, speakers, and full descriptions can be found on the agenda.
4. ABAIM
The American Board of AI in Medicine
Earn recognition that sets you apart. The ABAIM course is one of AIMed's most popular offerings - a special one-day program designed to give clinicians and healthcare professionals a rigorous, structured grounding in AI in medicine.
Delivered by leaders in the field, the ABAIM primer combines practical knowledge with credentialing that reflects real expertise, not just attendance.
Register for AIMed26 and add the course at a steep discount off its standalone price when you check out - one of the best-value additions you can make to your conference pass.
Why attend:
- Taught by pioneers in AI and medicine
- Credentialing that demonstrates genuine command of the subject





