Clinical AI reasoning for multimorbid patients: feasibility of calibrated differential diagnosis and treatment-plan evaluation

Research unit

INNOSUISSE

Project number

139.361 INNO-ICT

Project title

Clinical AI reasoning for multimorbid patients: feasibility of calibrated differential diagnosis and treatment-plan evaluation

Texts for this project

	German	French	Italian	English
Key words	-	-	-
Abstract	-	-	-

Category	Text
Key words (English)	ICT, eHealth
Abstract (English)	Patients with several simultaneous conditions drive a disproportionate share of diagnostic error and adverse drug events. ahtida and ZHAW establish the scientific basis for AI reasoning that ranks several conditions at once with calibrated uncertainty, and a valid way to evaluate treatment plans.