Toward Generalizability in the Deployment of Artificial Intelligence in Radiology: Role of Computation Stress Testing to Overcome Underspecification-Reference-Cited by-同舟云学术

Toward Generalizability in the Deployment of Artificial Intelligence in Radiology: Role of Computation Stress Testing to Overcome Underspecification

Published:2021-11-01 Issue:6 Volume:3 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Eche Thomas¹^ORCID,Schwartz Lawrence H.¹,Mokrane Fatima-Zohra¹^ORCID,Dercle Laurent¹

Affiliation:

1. From the Department of Radiology, Toulouse Rangueil Hospital, Toulouse, France (T.E., F.Z.M.); and Department of Radiology, NewYork-Presbyterian Hospital, Columbia University Irving Medical Center, 622 West 168th St, New York, NY 10032 (T.E., L.H.S., L.D.).

Funder

Alain Rahmouni

Publisher

Radiological Society of North America (RSNA)

Subject

General Medicine

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2021210097

Reference72 articles.

1. Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers—From the Radiology Editorial Board

2. Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

3. Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction