Results 21 to 30 of about 302,330 (265)

Artificial Intelligence-Assisted Diagnosis for Early Intervention Patients

open access: yesApplied Sciences, 2022
The use of artificial intelligence to aid decision making is widely adopted today. Its application is found in different areas, among which the medical one is the most disruptive.
Ignacio Sierra   +3 more
doaj   +1 more source

Artificial intelligence assisted pterygium diagnosis: current status and perspectives [PDF]

open access: yesInternational Journal of Ophthalmology, 2023
Pterygium is a prevalent ocular disease that can cause discomfort and vision impairment. Early and accurate diagnosis is essential for effective management. Recently, artificial intelligence (AI) has shown promising potential in assisting clinicians with
Bang Chen   +9 more
doaj   +1 more source

Neural network-based colonoscopic diagnosis using on-line learning and differential evolution [PDF]

open access: yes, 2004
In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for the on-line back-propagation (BP) is proposed and used to seed an on-line ...
Battiti   +18 more
core   +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

Structured computer-based training in the interpretation of neuroradiological images [PDF]

open access: yes, 2000
Computer-based systems may be able to address a recognised need throughout the medical profession for a more structured approach to training. We describe a combined training system for neuroradiology, the MR Tutor that differs from previous approaches to
Azevedo   +26 more
core   +2 more sources

Artificial neural networks for the detection of odontoid fractures using the Konstanz Information Miner Analytics Platform [PDF]

open access: yesAsian Spine Journal
Study Design An experimental study. Purpose This study aimed to investigate the potential use of artificial neural networks (ANNs) in the detection of odontoid fractures using the Konstanz Information Miner (KNIME) Analytics Platform that provides a ...
Wongthawat Liawrungrueang   +5 more
doaj   +1 more source

Computer-aided polyp characterization in colonoscopy: sufficient performance or not? [PDF]

open access: yesClinical Endoscopy
Computer-assisted polyp characterization (computer-aided diagnosis, CADx) facilitates optical diagnosis during colonoscopy. Several studies have demonstrated high sensitivity and specificity of CADx tools in identifying neoplastic changes in colorectal ...
Natalie Halvorsen, Yuichi Mori
doaj   +1 more source

Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level [PDF]

open access: yesUltrasonography, 2022
Purpose This study evaluated how artificial intelligence-based computer-assisted diagnosis (AI-CAD) for breast ultrasonography (US) influences diagnostic performance and agreement between radiologists with varying experience levels in different workflows.
Si Eun Lee   +8 more
doaj   +1 more source

Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique

open access: yes, 2020
This paper presents an automated classification method of infective and non-infective diseases from anterior eye images. Treatments for cases of infective and non-infective diseases are different. Distinguishing them from anterior eye images is important
Fukuoka, Hideki   +4 more
core   +1 more source

Challenges of computer-assisted orthognathic surgery in clinical application [PDF]

open access: yes口腔疾病防治
After years of development, the advantages of computer-assisted orthognathic surgery have been widely recognized. However, the clinical application of this technology is challenging.
YAN Jiashu, LI Biao, WANG Xudong
doaj   +2 more sources

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