Interpretable Artificial Intelligence: Why and When
Adarsh Ghosh, Devasenathipathy Kandasamy
Abstract
A plethora of AI algorithms are currently being used in medical research, but the opacity of these algorithms makes their clinical implementation a dilemma. Clinical decision making cannot be assigned to something that we do not understand. Therefore, AI research should not be limited to reporting accuracy and sensitivity but, rather, should try to explain the underlying reasons for the predictions, in an attempt to enrich biologic understanding and knowledge.
Topics & Concepts
MedicineArtificial intelligenceMachine learningComputer scienceArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical ImagingMachine Learning in Healthcare