AI in medicine: Where are we now and where are we going?
Md Mobashir Hasan Shandhi, Jessilyn Dunn
Abstract
Advancements in AI enable personalizing healthcare, for example by investigating disease origins at the genetic or molecular level, understanding intraindividual drug effects, and fusing multi-modal personal physiological, behavioral, laboratory, and clinical data to uncover new aspects of pathophysiology. Future efforts should address equity, fairness, explainability, and generalizability of AI models.
Topics & Concepts
Generalizability theoryPersonalized medicinePharmacogenomicsEquity (law)Precision medicineGenetic dataHealth carePsychologyMedicineData scienceComputer scienceBioinformaticsPharmacologyBiologyPolitical sciencePathologyDevelopmental psychologyLawPopulationEnvironmental healthArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical ImagingMachine Learning in Healthcare