Artificial Intelligence (AI) for Fracture Diagnosis: An Overview of Current Products and Considerations for Clinical Adoption, From the <i>AJR</i> Special Series on AI Applications-Reference-Cited by-同舟云学术

Artificial Intelligence (AI) for Fracture Diagnosis: An Overview of Current Products and Considerations for Clinical Adoption, From the AJR Special Series on AI Applications

Published:2022-12 Issue:6 Volume:219 Page:869-878
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Zech John R.¹,Santomartino Samantha M.²,Yi Paul H.²

Affiliation:

1. Department of Radiology, Columbia University Irving Medical Center/New York–Presbyterian Hospital, New York, NY.

2. Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Medical Intelligent Imaging (UM2ii) Center, University of Maryland School of Medicine, 670 W Baltimore St, First Fl, Rm 1172, Baltimore, MD 21201.

Publisher

American Roentgen Ray Society

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://www.ajronline.org/doi/pdf/10.2214/AJR.22.27873

Reference55 articles.

1. Global, regional, and national burden of bone fractures in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019

2. Diagnostic errors in an accident and emergency department

3. Trend in radiologist workload compared to number of admissions in the emergency department

4. Physician Burnout in Radiology: Perspectives From the Field

5. Errors in fracture diagnoses in the emergency department – characteristics of patients and diurnal variation

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