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Academic Journal

Content-based image retrieval assists radiologists in diagnosing eye and orbital mass lesions in MRI.

Authors : Rumberger JL; Max-Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.; Faculty of Mathematics and Natural Sciences, Humboldt University Berlin, Berlin, Germany.

Subjects: Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/methods ; Radiologists* ; Orbital Neoplasms*/Orbital Neoplasms*/Orbital Neoplasms*/diagnostic imaging

Source: Scientific reports [Sci Rep] 2025 Apr 02; Vol. 15 (1), pp. 11334. Date of Electronic Publication: 2025 Apr 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

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

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Academic Journal

The impact of AI suggestions on radiologists' decisions: a pilot study of explainability and attitudinal priming interventions in mammography examination.

Authors : Rezazade Mehrizi MH; Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. .; Mol F

Subjects: Radiologists* ; Breast Neoplasms*/Breast Neoplasms*/Breast Neoplasms*/diagnostic imaging; Humans

Source: Scientific reports [Sci Rep] 2023 Jun 07; Vol. 13 (1), pp. 9230. Date of Electronic Publication: 2023 Jun 07.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system.

Authors : Miyazaki A; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-Cho, Chuo-Ku, Kobe, 650-0017, Japan.; Ikejima K

Subjects: COVID-19*/COVID-19*/COVID-19*/diagnostic imaging ; Deep Learning* ; Pneumonia*/Pneumonia*/Pneumonia*/diagnostic imaging

Source: Scientific reports [Sci Rep] 2023 Oct 16; Vol. 13 (1), pp. 17533. Date of Electronic Publication: 2023 Oct 16.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Radiologists can visually predict mortality risk based on the gestalt of chest radiographs comparable to a deep learning network.

Authors : Weiss J; Artificial Intelligence in Medicine (AIM) Program, Brigham and Women's Hospital, Harvard Medical School, Harvard Institutes of Medicine (HIM), Suite 343, 77 Avenue Louis Pasteur, Boston, MA, 02115, USA. .; Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Charles River Plaza, 165 Cambridge Street, Boston, MA, 02114, USA. .

Subjects: Mortality* ; Radiography, Thoracic* ; Radiologists*

Source: Scientific reports [Sci Rep] 2021 Oct 01; Vol. 11 (1), pp. 19586. Date of Electronic Publication: 2021 Oct 01.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Performance of ChatGPT, human radiologists, and context-aware ChatGPT in identifying AO codes from radiology reports.

Authors : Russe MF; Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Breisacher Str. 64, 79106, Freiburg, Germany. .; Fink A

Subjects: Fractures, Bone* ; Radiology*; Humans

Source: Scientific reports [Sci Rep] 2023 Aug 30; Vol. 13 (1), pp. 14215. Date of Electronic Publication: 2023 Aug 30.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Temporal subtraction CT with nonrigid image registration improves detection of bone metastases by radiologists: results of a large-scale observer study.

Authors : Onoue K; Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, Kyoto, 606-8507, Japan. .; Department of Radiology, Kobe City Medical Center General Hospital, 2-1-1 Minatojimaminamimachi, Chuo-ku, Kobe, Hyogo, 650-0047, Japan. .

Subjects: Bone Neoplasms/Bone Neoplasms/Bone Neoplasms/*drug therapy ; Tomography, X-Ray Computed/Tomography, X-Ray Computed/Tomography, X-Ray Computed/*standards; Aged

Source: Scientific reports [Sci Rep] 2021 Sep 16; Vol. 11 (1), pp. 18422. Date of Electronic Publication: 2021 Sep 16.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Convolutional neural networks versus radiologists in characterization of small hypoattenuating hepatic nodules on CT: a critical diagnostic challenge in staging of colorectal carcinoma.

Authors : Khalili K; Department of Medical Imaging, University of Toronto, Toronto, ON, Canada. .; Joint Department of Medical Imaging, Sinai Health System, Women's College Hospital, Princess Margaret Cancer Centre, University Health Network, 610 University Ave, Toronto, ON, M5G 2M9, Canada. .

Subjects: Neural Networks, Computer*; Colorectal Neoplasms/Colorectal Neoplasms/Colorectal Neoplasms/*diagnostic imaging ; Liver/Liver/Liver/*diagnostic imaging

Source: Scientific reports [Sci Rep] 2020 Sep 17; Vol. 10 (1), pp. 15248. Date of Electronic Publication: 2020 Sep 17.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

MDF-Net for abnormality detection by fusing X-rays with clinical data.

Authors : Hsieh C; Queensland University of Technology, Brisbane, Australia.; Nobre IB

Subjects: Radiologists*; Humans ; X-Rays

Source: Scientific reports [Sci Rep] 2023 Sep 23; Vol. 13 (1), pp. 15873. Date of Electronic Publication: 2023 Sep 23.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs: Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net.

Authors : Kim YG; Department of Biomedical Engineering, Asan Institute of Life Science, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.; Cho Y

Subjects: Radiographic Image Interpretation, Computer-Assisted/Radiographic Image Interpretation, Computer-Assisted/Radiographic Image Interpretation, Computer-Assisted/*methods ; Radiography, Thoracic/Radiography, Thoracic/Radiography, Thoracic/*methods; Aged

Source: Scientific reports [Sci Rep] 2019 Dec 10; Vol. 9 (1), pp. 18738. Date of Electronic Publication: 2019 Dec 10.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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نتائج البحث

فلترة النتائج

Content-based image retrieval assists radiologists in diagnosing eye and orbital mass lesions in MRI.

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

The impact of AI suggestions on radiologists' decisions: a pilot study of explainability and attitudinal priming interventions in mammography examination.

Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system.

Radiologists can visually predict mortality risk based on the gestalt of chest radiographs comparable to a deep learning network.

Performance of ChatGPT, human radiologists, and context-aware ChatGPT in identifying AO codes from radiology reports.

Temporal subtraction CT with nonrigid image registration improves detection of bone metastases by radiologists: results of a large-scale observer study.

Convolutional neural networks versus radiologists in characterization of small hypoattenuating hepatic nodules on CT: a critical diagnostic challenge in staging of colorectal carcinoma.

MDF-Net for abnormality detection by fusing X-rays with clinical data.

Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs: Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net.

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