Clinical Validation Is the Key to Adopting AI in Clinical Practice-Reference-Cited by-同舟云学术

Clinical Validation Is the Key to Adopting AI in Clinical Practice

Published:2021-07-01 Issue:4 Volume:3 Page:e210104
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Jacobson Francine L.¹^ORCID,Krupinski Elizabeth A.¹^ORCID

Affiliation:

1. From the Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115 (F.L.J.); and Department of Radiology & Imaging Sciences, Emory University, Atlanta, Ga (E.A.K.).

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2021210104

Reference5 articles.

1. Deep Learning Systems for Pneumothorax Detection on Chest Radiographs: A Multicenter External Validation Study

2. Logistic regression and artificial neural network classification models: a methodology review

3. Diagnostic accuracy of chest X-rays acquired using a digital camera for low-cost teleradiology

4. Images, Image Quality and Observer Performance

5. History of Research in Medical Image Perception

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