AI entrepreneurship: essential steps for launching and scaling an AI-focused health venture

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

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

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

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

Building equitable AI: diversity, bias mitigation, and inclusive development

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

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

Generative AI in healthcare operations: tactics for safely integrating LLM's and generative tools into workflows

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

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

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

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

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

Multimodal AI: transforming healthcare through integrated intelligence

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

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

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

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

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

The rise of AI agents and agentic AI; The rise of AI agents & agentic AI: understand emerging autonomous AI tools and their applications in healthcare

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

Understanding payment and reimbursement models: learn how AI technologies are reimbursed and how to build sustainable business cases