Breakfast

Breakfast workshops - click 'more info' button for full details of all the breakfast workshops

Peer review in the AI era: navigate peer review expectations and responsible reporting of AI-driven findings

Driving Quality Improvement with AI: case studies and methods for using AI to enhance care quality and safety

Strategies for effective AI implementation: real-world examples of integrating AI into clinical workflows

Building empathetic and transparent AI: understand how patients experience AI and what it means for trust and adoption

AI reimbursement and payer decision-making: building sustainable business cases that get approved

Is your organization AI-ready? Assessing culture, capacity, and infrastructure

From strategy to sustainability: leading AI integration in hospital operations

AI to advance social,public and global health equity: innovations that address disparities and improve access to quality care across populations

Hospital design in the AI era: architectural and operational changes for smart, AI-integrated care environments

Implementation science: evidence-based approaches to bring AI from pilot to practice

Understanding legal risks and regulations for AI in healthcare: navigate liability, compliance and regulatory frameworks

The future of AI in healthcare: trends, technologies, and tomorrow’s potential

AI in disaster medicine: how AI supports rapid decision-making, logistics, and triage in crisis situations

Revenue cycle management: how AI optimizes billing, coding, and financial decision-making

Making AI Startups Win: Entrepreneurial Moves to Launch & Scale Health Ventures.

Guardrails for safe, responsible innovation: explore ethical frameworks and safety nets for AI deployment

Training the physician workforce for the age of AI: tools, trust, and teaching

Human factors and AI: designing AI that engages, delights and adds value to clinicians and patients

AI in healthcare HR

Real time risk prediction: Real time risk prediction: explore AI systems that proactively identify patient deterioration and inform timely action

Multimodal AI: transforming healthcare through integrated intelligence

Ambient intelligence: explore context-aware systems that enhance care without intruding on workflows

Agentic AI and AI agents: Understanding their applications in healthcare

Designing AI that works for clinicians: Designing AI that works for clinicians: build usable, impactful AI solutions by involving healthcare providers from day one

Grand opening keynote session

Keynote 2

Keynote 3

Human–AI fusion: the next edge in healthtech entrepreneurial success

Keynote 5

Keynote speakers Q&A and book signing

Refreshments and networking

Real world application 1

Real world application 1

Real-world appplications in clinical workflow optimization

AI-driven drug discovery/clinical trials (case study)

Real world application - federated learning

Real world application 2

Bridging the theory-practice gap with virtual simulation

Precision medicine & AI (Case Study)

Governance and guardrails: managing risk whilst moving fast

Panel 1

Strategy, readiness, and ethical principles for AI in healthcare:

Building the AI-powered research ecosystem pharma needs now

Real world application 3

Real world application 3

AI in community health nursing: enhancing outreach and preventative care

Streamlining peer review with NLP tools

Real world application 4

Real world application 4

Integrating AI into nursing practice (case study)

Accelerating research with Generative AI

Panel 2

Panel 2

The future of AI in nursing: Innovation, research, and ethical frontiers

Future directions for AI in pharma and biotech

Lunch and networking

Shark Tank competition

The use of mixed-method tools to assess barriers, and facilitators to AI uptake in clinical practice

Advancing global healthcare quality and safety through responsible AI 

Real world application 1

AI-powered mental health support: enhancing access and personalization (case study)

Precision obesity care: can AI move us beyond BMI?

Bias busted: lessons learned

Real world application 2

AI-powered behavioral health interventions

Large language models revolutionizing clinical decision support (case study)

AI in the authorization arms race

Real world application 3

Using agentic architectures to train clinicians for emotionally complex conversations

Real world application 3

Navigating AI product lifecycles in healthcare

Real world application 4

AI for clinician wellness: reducing burnout and supporting care delivery (case study)

Real-world impact of AI on clinical practice and patient outcomes

AI around the world: global implementation stories

Panel 1

Mind and machine: navigating AI's role in mental health and clinician wellness

Digital poster abstract competition

Refreshments and networking

Closing session

Sub-specialty breakouts - click 'more info' button for full details of all the sub-specialty breakouts

Students

Medical Education

Informatics

Executive Leaders

Medical devices

Medical trainees

Abstract Finalists & Judges

Chief Financial Officers

Women in Health

Healthcare Operations

AI Champions awards night

Breakfast

Breakfast workshops - click 'more info' button for full details of all the breakfast workshops

Building your dream AI team: strategies for success in clinical settings

Building ethical and equitable AI in healthcare: tackling bias, promoting transparency, and designing inclusive systems

Digital twins: explore how virtual replicas of patients can aid in prevention, prediction, and planning

AI in ICU and the MIMIC IV project: real-world lessons from critical care datasets and predictive tools

Smart devices and AI: case studies of AI-embedded medical devices improving diagnostics and treatment

AI meets extended reality: examine immersive tools combining AI with AR/VR for surgery, education, and rehab

DeepSeek and it's disruption: understand the implications of DeepSeek and similar models on clinical practice

Publications of the year 2025: a review of the most impactful recent research in health AI

From no-code to vibe code in healthcare: accessible tools clinicians can use without programming skills

Financial return of AI: measuring the value of AI investments in healthcare

Preparing for a career in AI in healthcare: insights and advice from those who've made the leap

Dos and don'ts for AI in health start-ups: insights from founders and investors on navigating the start-up journey in health tech

AI in imaging: discover how AI is accelerating radiology and pathology interpretation

Using AI for medical legal work: explore how AI tools are shaping the intersection of medicine and law

Establishing an AI center for transformative innovation: the steps to launching and sustaining an internal AI innovation program

AI and sepsis & lessons learnt - what works, and what doesn’t, when applying AI to one of medicine’s toughest challenges

Regulatory issues in AI: stay ahead of FDA, EMA, and international guidelines shaping AI oversight

Evaluating AI companies in healthcare: Evaluating AI companies in healthcare: learn to critically assess claims, products, and partnerships in the AI space

Exploring non-clinical career paths for clinicians: policy, product, research, education, and consulting

Human intelligence meets AI: explore synergy between clinical intuition and AI capabilities

AI in genomics & precision medicine: unlocking the future of personalized care

Generative AI in pediatric and patient-centered research: accelerating insight, preserving integrity

AI in women's health: explore innovations focused on maternal care, reproductive health, and gender equity

Scribe documentation in nursing: how ambient and generative AI is transforming nursing documentation processes

AI adoption: organizational psychology for success

Humans in the era of AI

Winning abstract presentation

Keynote 3

Keynote 4

Keynote 5

Refreshments and networking

Keynote speakers Q&A and book signing

AI in radiology: enhancing diagnostic accuracy and workflow efficiency (case study)

Real world application 1

Cybersecurity threats: protecting patient data and systems

Agentic AI: real clinical use in 2025

AI in pathology: automating analysis for faster, more accurate diagnoses

Real world application 2

AI in anomaly detection for cybersecurity: proactive defense in healthcare

Digital Twins in cardiovascular disease

AI's foundational role in diagnostics and therapeutics

Panel 1

Cybersecurity frameworks for AI in healthcare

Strategic imperatives for AI in healthcare - navigating the next frontier

AI in dermatology: advancing early skin cancer detection (case study)

Real world application 3

AI for secure and compliant healthcare data management (case study)

Multimodal AI (case study)

AI in ophthalmology: early detection of retinal diseases and glaucoma

Real world application 4

Real world application 4

The triplet economy: AI, IoT, and cloud in healthcare systems

Research & innovation in AI-driven diagnostics

Panel 2

Advanced cybersecurity strategies for AI in healthcare

Investing in transformative innovation

Chief AI Officers lunch meeting

Lunch and networking

AIMed Match

Using AI to optimize resource allocation and patient flow

AI in breast imaging: enhancing screening and early cancer detection

Real world application 1

Tackling the maternal health crisis through innovation and technology

Real-world integration of AI and data in healthcare

AI in ultrasound: enhancing image acquisition and interpretation

Real world application 2

AI in postpartum care

Clinical LLMs in practice: from promise to patient impact

Interactive demo of AI-powered diagnostic tools

Panel 1

Advancing women's health: AI's promise for equity and innovation

Scaling AI in healthcare: lessons from failure, fixes, and final success

AI in interventional radiology: precision guidance and real-time feedback

Real world application 3

AI in gynecology (case study)

Funding AI initiatives & return on innovation

Pathways to AI implementation in medical imaging (case study)

Real world application 4

Real world application 4

CFO & CEO fireside chat - perspectives on AI value and implementation

AI's evolving role in medical imaging practice

Panel 2

Panel 2

Closing session

Summit closes