Results 1 to 10 of about 98,006 (141)

A Review on Detection of Pneumonia in Chest X-ray Images Using Neural Networks [PDF]

open access: yesJournal of Biomedical Physics and Engineering, 2022
The health organisation has suffered from the lack of diagnosis support systems and physicians in India. Further, the physicians are struggling to treat many patients, and the hospitals also have the lack of a radiologist especially in rural areas; thus,
Daniel Joseph Alapat   +2 more
doaj   +1 more source

Quantitative Assessment of Airway Changes in Fibrotic Interstitial Lung Abnormality Patients by Chest CT According to Cumulative Cigarette Smoking

open access: yesTomography, 2022
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
doaj   +1 more source

Computer-assisted initial diagnosis of rare diseases [PDF]

open access: yesPeerJ, 2016
Introduction. Most documented rare diseases have genetic origin. Because of their low individual frequency, an initial diagnosis based on phenotypic symptoms is not always easy, as practitioners might never have been exposed to patients suffering from ...
Rui Alves   +8 more
doaj   +2 more sources

Artificial intelligence in clinical medicine and dentistry [PDF]

open access: yesVojnosanitetski Pregled, 2017
nema
Miladinović Milan   +6 more
doaj   +1 more source

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

Computer assisted diagnosis of Alzheimer's disease using statistical likelihood-ratio test.

open access: yesPLoS ONE, 2023
The purpose of this work is to present a computer assisted diagnostic tool for radiologists in their diagnosis of Alzheimer's disease. A statistical likelihood-ratio procedure from signal detection theory was implemented in the detection of Alzheimer's ...
Xiaoming Zheng   +4 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

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

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