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A PHYSIOLOGICALLY-FOCUSED APPROACH TO TRAINING MULTI-MODALITY AI ALGORITHMS IN MEDICINE - PROJECT SUMMARY / ABSTRACT ARTIFICIAL INTELLIGENCE (AI) ALGORITHMS HAVE DEMONSTRATED SUCCESS IN NUMEROUS MEDICAL APPLICATIONS. IN

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A PHYSIOLOGICALLY-FOCUSED APPROACH TO TRAINING MULTI-MODALITY AI ALGORITHMS IN MEDICINE - PROJECT SUMMARY / ABSTRACT ARTIFICIAL INTELLIGENCE (AI) ALGORITHMS HAVE DEMONSTRATED SUCCESS IN NUMEROUS MEDICAL APPLICATIONS. IN PARTICULAR, THEY EXCEL AT ANALYZING RAW MEDICAL DATA FORMATS (SUCH AS MEDICAL IMAGING) WHICH HAS BEEN DRIVEN LARGELY BY A CATEGORY OF ALGORITHMS CALLED DEEP NEURAL NETWORKS (DNN) ANALYZING SINGLE DIAGNOSTIC TESTS OR MODALITIES INDI- VIDUALLY. HOWEVER HUMAN DISEASE PHYSIOLOGY IS RARELY CONFINED TO ONE ORGAN SYSTEM OR WHOLLY CAPTURED BY ONE DIAGNOSTIC TEST. FOR MANY OF THE MOST C

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