Clinical AI Resource Space — Key Papers, Tools, and Learning Materials
An open, living collection of resources on AI in medicine — from key papers and datasets to talks, tools, and community events.
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Clinical and Medical AI Curriculum for Healthcare Professionals
A structured curriculum guiding healthcare professionals from AI basics to advanced governance and practice.
Read more →An Introduction to AI in Diagnostics for Clinicians
AI is rapidly becoming an integral part of modern medicine, particularly in diagnostics. Understand the fundamentals and why AI literacy is essential...
Read more →AI Literacy in Healthcare: A Comprehensive Guide for Clinicians, Administrators, and MedTech Companies
AI literacy is now a core competency in modern healthcare. This guide details the essential skills, regulatory requirements in the EU and USA, ethical safeguards, and best‑practice steps for integrating AI tools safely and effectively. Clinical AI Readiness Score (CARS), is a comprehensive conceptual framework for assessing the deployment readiness of AI systems in healthcare settings, addressing technical, clinical, ethical, and operational dimensions.
Read more →Clinical AI Readiness Score (CARS): A Proposed Framework for Assessing Artificial Intelligence Deployment Readiness in Healthcare Settings
Despite significant advances in artificial intelligence (AI) research for healthcare applications, the translation from research to clinical practice remains limited.
Read more →What is Clinical AI? A Primer for Healthcare Professionals
Clinical AI refers to artificial intelligence systems that directly support patient care through diagnostics, prognostics, and treatment decisions — a critical subset of medical AI that clinicians need to understand.
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