Development and External Validation of an Artificial Intelligence Model for Identifying Radiology Reports Containing Recommendations for Additional Imaging-Reference-Cited by-同舟云学术

Development and External Validation of an Artificial Intelligence Model for Identifying Radiology Reports Containing Recommendations for Additional Imaging

Published:2023-09 Issue:3 Volume:221 Page:377-385
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Abbasi Nooshin¹,Lacson Ronilda²,Kapoor Neena¹²,Licaros Andro¹,Guenette Jeffrey P.¹²,Burk Kristine Specht¹²,Hammer Mark¹²,Desai Sonali³,Eappen Sunil⁴,Saini Sanjay¹⁵,Khorasani Ramin¹²

Affiliation:

1. Department of Radiology, Center for Evidence-Based Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.

2. Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115.

3. Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.

4. Department of Anesthesiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.

5. Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA.

Publisher

American Roentgen Ray Society

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://www.ajronline.org/doi/pdf/10.2214/AJR.23.29120

Reference38 articles.

1. Whole-Body CT Screening: Spectrum of Findings and Recommendations in 1192 Patients

2. Recommendations for Additional Imaging in Radiology Reports: Multifactorial Analysis of 5.9 Million Examinations

3. Self-referral in private offices for imaging studies performed in Pennsylvania Blue Shield subscribers during 1991.

4. Diagnostic Excellence

5. Failure to Follow-Up Test Results for Ambulatory Patients: A Systematic Review

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