TITLE: Current and Future of AI in Clinical Medicine: Lessons Learned this Decade and Future Paradigm for Clinical Impact
ABSTRACT: Artificial intelligence has gradually been introduced and adopted in the clinical medicine realm, but the clinical impact has not been as big as it was hoped. Among the issues include: lack of continual clinician/data scientist synergy, inadequate data and IT infrastructure, failure to maintain AI models that have generalizability, inadequate education for clinicians and administrators, and too little appreciation for the complexities of clinical medicine and decision making. The future of clinical medicine needs to have much stronger clinician involvement and direction so the level of cognition will be much higher. This future paradigm will need to involve AI technologies such as reinforcement learning and digital twins.