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

Forschungsstelle

INNOSUISSE

Projektnummer

139.361 INNO-ICT

Projekttitel

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

Projekttitel Englisch

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

Texte zu diesem Projekt

	Deutsch	Französisch	Italienisch	Englisch
Schlüsselwörter	-	-	-
Abstract	-	-	-

Kategorie	Text
Schlüsselwörter (Englisch)	ICT, eHealth
Abstract (Englisch)	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.