| Literature DB >> 31786504 |
Nabile M Safdar1, John D Banja2, Carolyn C Meltzer3.
Abstract
With artificial intelligence (AI) precipitously perched at the apex of the hype curve, the promise of transforming the disparate fields of healthcare, finance, journalism, and security and law enforcement, among others, is enormous. For healthcare - particularly radiology - AI is anticipated to facilitate improved diagnostics, workflow, and therapeutic planning and monitoring. And, while it is also causing some trepidation among radiologists regarding its uncertain impact on the demand and training of our current and future workforce, most of us welcome the potential to harness AI for transformative improvements in our ability to diagnose disease more accurately and earlier in the populations we serve.Entities:
Keywords: Artificial intelligence; Ethics; Machine learning; Radiology
Mesh:
Year: 2019 PMID: 31786504 DOI: 10.1016/j.ejrad.2019.108768
Source DB: PubMed Journal: Eur J Radiol ISSN: 0720-048X Impact factor: 3.528