Results 11 to 20 of about 102,128 (245)

Trends in the Charges and Utilization of Computer-Assisted Navigation in Cervical and Thoracolumbar Spinal Surgery [PDF]

open access: yesAsian Spine Journal, 2022
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

Preoperative radiologic evaluation of renal cell carcinoma [PDF]

open access: yesSrpski Arhiv za Celokupno Lekarstvo, 2002
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
doaj   +1 more source

The use of the computer assisted rehabilitation environment in assessment and rehabilitation

open access: yesЗдоров’я, спорт, реабілітація, 2023
Purpose. The purpose of this review article was to review and analyze the available literature regarding one of the most advanced virtual reality technologies.
Mohamed Abdelmegeed, Hosny Elkhawaga
doaj   +1 more source

Are artificial intelligence large language models a reliable tool for difficult differential diagnosis? An a posteriori analysis of a peculiar case of necrotizing otitis externa

open access: yesClinical Case Reports, 2023
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
doaj   +1 more source

Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

open access: yesDiagnostics, 2020
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
doaj   +1 more source

Artificial intelligence-based computer-assisted detection/diagnosis (AI-CAD) for screening mammography: Outcomes of AI-CAD in the mammographic interpretation workflow

open access: yesEuropean Journal of Radiology Open, 2023
Purpose: To evaluate the stand-alone diagnostic performances of AI-CAD and outcomes of AI-CAD detected abnormalities when applied to the mammographic interpretation workflow.
Jung Hyun Yoon   +5 more
doaj   +1 more source

Application of computer-aided diagnosis in breast ultrasound interpretation: improvements in diagnostic performance according to reader experience [PDF]

open access: yesUltrasonography, 2018
Purpose The purpose of this study was to evaluate the usefulness of applying computer-aided diagnosis (CAD) to breast ultrasound (US), depending on the reader's experience with breast imaging.
Ji-Hye Choi   +4 more
doaj   +1 more source

Surgical treatment of acute appendicitis with laparoscopic technologies

open access: yesУчёные записки Санкт-Петербургского государственного медицинского университета им. Акад. И.П. Павлова, 2018
The aim of the work was to study the effectiveness of the Computer Assisted Surgical Intervention in 597 patients with the diagnosis of acute appendicitis.
R. Zh. Izbassarov
doaj   +1 more source

A Review of Deep Learning Techniques for Lung Cancer Screening and Diagnosis Based on CT Images

open access: yesDiagnostics, 2023
One of the most common and deadly diseases in the world is lung cancer. Only early identification of lung cancer can increase a patient’s probability of survival.
Mohammad A. Thanoon   +3 more
doaj   +1 more source

Deep learning-based research on the influence of training data size for breast cancer pathology detection

open access: yesThe Journal of Engineering, 2019
In pathological diagnosis of breast cancer, there are problems such as shortage of pathologists, difficulties in sample labeling, and huge workload of manual diagnosis. Therefore, deep learning-based computer-assisted pathology analysis systems have been
Chongyang Cui   +4 more
doaj   +1 more source

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