Work

Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

Year: 2018

Type: article

Source: Journal of the American College of Radiology

DOI: 10.1016/j.jacr.2017.12.026

Authors: James H. Thrall, Xiang Li, Quanzheng Li, Cinthia Cruz, Synho Do, Keith Dreyer, James Brink

Institutions: Harvard University, Massachusetts General Hospital

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2785645041

FWCI: 11.32

Cites: 17

Cited by: 707

Related to: 10