Results 21 to 30 of about 101,807 (260)

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

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

Comparative Analysis of Computer-Aided Diagnosis and Computer-Assisted Subjective Assessment in Thyroid Ultrasound

open access: yesLife, 2021
The value of computer-aided diagnosis (CAD) and computer-assisted techniques equipped with different TIRADS remains ambiguous. Parallel diagnosis performances of computer-assisted subjective assessments and CAD were compared based on AACE, ATA, EU, and ...
Nonhlanhla Chambara   +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

Whole brain irradiation with simultaneous integrated boost in treatment of oligometastatic brain disease [PDF]

open access: yesVojnosanitetski Pregled, 2019
Background/Aim. Brain metastases occur in 20%–30% of all patients with systemic cancer. We aimed at investigating whether patients with oligometastatic brain disease treated with whole brain radiotherapy (WBRT) and simultaneous integrated boost of brain ...
Kolarević Goran   +3 more
doaj   +1 more source

Deep learning for computer-assisted diagnosis of hereditary diffuse gastric cancer [PDF]

open access: yesJournal of Pathology and Translational Medicine, 2021
Background Patients with hereditary diffuse gastric cancer often undergo prophylactic gastrectomy to minimize cancer risk. Because intramucosal poorly cohesive carcinomas in this setting are typically not grossly visible, many pathologists assess the ...
Sean A. Rasmussen   +2 more
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

Computer-aided diagnosis of colorectal polyps: assisted or autonomous? [PDF]

open access: yesClinical Endoscopy
Computer-aided diagnosis (CADx) in colonoscopy aims to improve the accuracy of diagnosing small polyps; however, its integration into clinical practice remains challenging.
Yuichi Mori, Cesare Hassan
doaj   +1 more source

Impact of real-time artificial intelligence integration on detection of gastric lesions: an exploratory single-center before-and-after study using low-definition routine endoscopy [PDF]

open access: yesClinical Endoscopy
Background/Aims Early detection of gastric neoplasia, particularly subcentimeter lesions, using upper gastrointestinal (GI) endoscopy remains challenging. This study evaluated the impact of a real-time artificial intelligence (AI) detection system on the
Hwijun Lee   +10 more
doaj   +1 more source

Home - About - Disclaimer - Privacy