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AI-assisted radiologists vs. standard double reading for rib fracture detection on CT images: A real-world clinical study.

• Authors : Sun L; Department of Radiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.; Fan Y

Subjects: Rib Fractures*/Rib Fractures*/Rib Fractures*/diagnostic imaging ; Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/methods ; Artificial Intelligence*

• Source: PloS one [PLoS One] 2025 Jan 24; Vol. 20 (1), pp. e0316732. Date of Electronic Publication: 2025 Jan 24 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Impact of artificial intelligence assistance on pulmonary nodule detection and localization in chest CT: a comparative study among radiologists of varying experience levels.

• Authors : Peters AA; Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Rosenbühlgasse 27, 3010, Bern, Switzerland. .; Wiescholek N

Subjects: Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/Tomography, X-Ray Computed*/methods ; Artificial Intelligence* ; Radiologists*

• Source: Scientific reports [Sci Rep] 2024 Sep 28; Vol. 14 (1), pp. 22447. Date of Electronic Publication: 2024 Sep 28.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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The clinical value of artificial intelligence in assisting junior radiologists in thyroid ultrasound: a multicenter prospective study from real clinical practice.

• Authors : Xu D; Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China.; Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, 317502, China.

Subjects: Artificial Intelligence* ; Thyroid Nodule*/Thyroid Nodule*/Thyroid Nodule*/diagnostic imaging ; Thyroid Nodule*/Thyroid Nodule*/Thyroid Nodule*/pathology

• Source: BMC medicine [BMC Med] 2024 Jul 12; Vol. 22 (1), pp. 293. Date of Electronic Publication: 2024 Jul 12.Publisher: BioMed Central Country of Publication: England NLM ID: 101190723 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7015

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Artificial intelligence in musculoskeletal applications: a primer for radiologists.

• Authors : Tong, Michelle; Zhou, Jiamin; Akkaya, Zehra

Subjects: Artificial intelligence; deep learning; machine learning

• Source: Diagnostic and Interventional Radiology. 31(2)

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Comparative analysis of diagnostic performance in mammography: A reader study on the impact of AI assistance.

• Authors : Ramli Hamid MT; Department of Radiology, Faculty of Medicine, University Teknologi MARA, Sungai Buloh, Selangor, Malaysia.; Ab Mumin N

Subjects: Mammography*/Mammography*/Mammography*/methods ; Artificial Intelligence* ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging

• Source: PloS one [PLoS One] 2025 May 07; Vol. 20 (5), pp. e0322925. Date of Electronic Publication: 2025 May 07 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Can AI generate diagnostic reports for radiologist approval on CXR images? A multi-reader and multi-case observer performance study.

• Authors : Guo L; Shenzhen Zhiying Medical Imaging, Shenzhen, Guangdong, China.; Xia L

Subjects: Artificial Intelligence* ; Radiography, Thoracic*/Radiography, Thoracic*/Radiography, Thoracic*/methods ; Radiologists*

• Source: Journal of X-ray science and technology [J Xray Sci Technol] 2024; Vol. 32 (6), pp. 1465-1480.Publisher: SAGE Publications Country of Publication: United States NLM ID: 9000080 Publication Model: Print Cited Medium: Internet ISSN:

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Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections.

• Authors : Yang Y; Department of Radiology, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.; Lure FYM

Subjects: Artificial Intelligence* ; Radiologists*/Radiologists*/Radiologists*/statistics & numerical data; COVID-19/COVID-19/COVID-19/*diagnostic imaging

• Source: Journal of X-ray science and technology [J Xray Sci Technol] 2021; Vol. 29 (1), pp. 1-17.Publisher: SAGE Publications Country of Publication: Netherlands NLM ID: 9000080 Publication Model: Print Cited Medium: Internet ISSN: 1095-9114

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Multiphase Computed Tomography Scan Findings for Artificial Intelligence Training in the Differentiation of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Based on Interobserver Agreement of Expert Abdominal Radiologists.

• Authors : Inmutto, Nakarin¹ (AUTHOR); Pojchamarnwiputh, Suwalee¹ (AUTHOR); Na Chiangmai, Wittanee¹ (AUTHOR)

• Source: Diagnostics (2075-4418). Apr2025, Vol. 15 Issue 7, p821. 11p.

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Physicians' preferences and willingness to pay for artificial intelligence-based assistance tools: a discrete choice experiment among german radiologists.

• Authors : von Wedel P; Chair of Economic and Social Policy, WHU - Otto Beisheim School of Management, Burgplatz 2, 56179, Vallendar, Germany. .; Hagist C

Subjects: Artificial Intelligence* ; Radiology*; Humans

• Source: BMC health services research [BMC Health Serv Res] 2022 Mar 26; Vol. 22 (1), pp. 398. Date of Electronic Publication: 2022 Mar 26.Publisher: BioMed Central Country of Publication: England NLM ID: 101088677 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6963

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Quality use of artificial intelligence in medical imaging: What do radiologists need to know?

• Authors : Goergen SK; Monash Imaging, Monash Health, Melbourne, Victoria, Australia.; Department of Imaging, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia.

Subjects: Artificial Intelligence* ; Radiology*; Humans

• Source: Journal of medical imaging and radiation oncology [J Med Imaging Radiat Oncol] 2022 Mar; Vol. 66 (2), pp. 225-232.Publisher: Wiley-Blackwell Pub. Asia Country of Publication: Australia NLM ID: 101469340 Publication Model: Print Cited Medium: Internet ISSN:

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