Making “CASES” for AI in Medicine
Ge Wang
Abstract
In this perspective, "CASES" are made for AI in medicine. The CASES mean Confidence, Adaptability, Stability, Explainability, and Security of AI systems. We underline that these CASES can be addressed not only individually but also synergistically on the large model platform and using cutting-edge diffusion-type models.
Topics & Concepts
AdaptabilityPerspective (graphical)Enhanced Data Rates for GSM EvolutionStability (learning theory)Artificial intelligenceComputer scienceMachine learningManagementEconomicsMachine Learning in HealthcareExplainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education