Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review. [PDF]
Alvarez-Estevez D, Moret-Bonillo V.
europepmc +3 more sources
Comment on the "Diagnostic value of a computer- -assisted diagnosis system for the ultrasound features in thyroid nodules". [PDF]
Bozer A.
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The Feasibility of Classifying Breast Masses Using a Computer-Assisted Diagnosis (CAD) System Based on Ultrasound Elastography and BI-RADS Lexicon. [PDF]
Fleury EFC+3 more
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Response to the comment on "Diagnostic value of a computer-assisted diagnosis system for the ultrasound features in thyroid nodules". [PDF]
Wang Y.
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Trends in the Charges and Utilization of Computer-Assisted Navigation in Cervical and Thoracolumbar Spinal Surgery [PDF]
Study Design Retrospective national database study. Purpose This study is conducted to assess the trends in the charges and usage of computer-assisted navigation in cervical and thoracolumbar spinal surgery. Overview of Literature This study is the first
Calista L. Dominy+7 more
doaj +1 more source
Purpose: The aim of this study was to evaluate the role of Pi10 in patients with fibrotic interstitial lung abnormality (fibrotic ILA) in a chest CT, according to cumulative cigarette smoking. Methods: We retrospectively assessed 54 fibrotic ILA patients
Yuan Zhe Li+3 more
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A Novel Dynamic Hyper-Graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases. [PDF]
Zhu Y, Zhu X, Kim M, Wu G.
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Preoperative radiologic evaluation of renal cell carcinoma [PDF]
Renal cell carcinoma is frequently a matter of urological interest. In recent years there were significant improvements regarding the earlier diagnosis more precise preoperative staging and appropriate therapy. One hundred patients (42-78 years old) with
Ignjatović Ivan M.+4 more
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Key Clinical Message Large language models have made artificial intelligence readily available to the general public and potentially have a role in healthcare; however, their use in difficult differential diagnosis is still limited, as demonstrated by a ...
Giorgia Pugliese+7 more
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Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts and tumors.
Michael G. Endres+12 more
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