The Current and Future State of AI Interpretation of Medical Images

Using AI to Interpret Medical ImagesThe authors examine the advantages and limitations of current clinical radiologic AI systems, new clinical workflows, and the potential effect of generative AI and large multimodal foundation models.

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	The New England journal of medicine 2023-05, Vol.388 (21), p.1981-1990
Hauptverfasser:	Rajpurkar, Pranav, Lungren, Matthew P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms and Education and Education General and the FDA Artificial Intelligence Biomarkers Clinical outcomes Devices Diagnostic Imaging - methods Drugs Emergency Medicine Emergency Medicine General FDA approval Forecasting Health Care Delivery Health Policy Humans Image Interpretation, Computer-Assisted - methods Magnetic resonance imaging Medical imaging Medical Practice Patients Pediatrics Pediatrics General Radiology Radiology General Surgery Surgery General Training Ultrasonic imaging
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	Using AI to Interpret Medical ImagesThe authors examine the advantages and limitations of current clinical radiologic AI systems, new clinical workflows, and the potential effect of generative AI and large multimodal foundation models.
ISSN:	0028-4793 1533-4406
DOI:	10.1056/NEJMra2301725