Thematic hubs

Explore Focus Areas

Navigate collections that surface frameworks, case studies, and tooling for each domain.

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Focus Areas

Specialized domains covering the full spectrum of healthcare AI

Clinical AI & Decision Support

Model validation, bias assessment, and post-market surveillance for AI embedded in clinical pathways.

  • Diagnostics
  • Triage
  • Care Pathways
Open hub

Digital Therapeutics & Virtual Care

Remote monitoring, digital therapeutics, and hybrid care models aligned with regulatory expectations.

  • Remote Monitoring
  • Digital Therapeutics
  • Behavioural Health
Open hub

Data Platforms & Interoperability

Governance, standards, and longitudinal analytics for secure health data exchange.

  • FHIR & Standards
  • Health Data Fabric
  • Real-World Evidence
Open hub

Policy, Ethics & Compliance

AI legislation, medical device directives, and ethical frameworks guiding responsible use.

  • EU AI Act
  • FDA SaMD
  • Ethical AI
Open hub
Industry Events

Key Conferences & Summits

Major gatherings shaping the future of healthcare AI and digital health

HIMSS Global Health Conference & Exhibition

Global (rotating host cities) • Annual – see official site for latest schedule

Flagship gathering on digital health innovation, analytics, and hospital transformation.

Event website

World Health Summit

Berlin, Germany & Hybrid • October (annual)

Global strategic forum aligning research, policy, and industry on health innovation and equity.

Event website

AI for Good Global Summit

Geneva, Switzerland & Online • May (annual)

International Telecommunication Union summit exploring AI applications and governance for societal impact.

Event website
Implementation Guide

Getting Started with Healthcare AI

Practical steps for healthcare organizations

Assessment Phase

Evaluate your organization's current technology infrastructure, identify clinical workflows that could benefit from AI integration, assess data quality and availability, and establish stakeholder buy-in from clinical staff and administrators.

Regulatory Compliance

Understand FDA, EMA, and local regulatory requirements for AI medical devices. Ensure HIPAA compliance for patient data protection. Review WHO guidance on AI ethics and governance. Establish clear accountability frameworks.

Pilot & Scale

Start with focused pilot projects in specific departments. Measure outcomes against baseline metrics. Gather feedback from clinical users. Develop training programs for staff. Plan gradual scaling based on evidence of success and ROI.