Results 31 to 40 of about 344,926 (288)

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

Diagnostics, 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, Mohd Asyraf Zulkifley, Muhammad Ammirrul Atiqi Mohd Zainuri, Siti Raihanah Abdani   +3 more
doaj   +1 more source

Novel platform for development, training, and validation of computer-assisted detection/diagnosis software

International Journal of Computer Assisted Radiology and Surgery, 2020
Purpose To build a novel, open-source, purely web-based platform system to address problems in the development and clinical use of computer-assisted detection/diagnosis (CAD) software.
Y. Nomura, S. Miki, N. Hayashi, S. Hanaoka, Issei Sato, T. Yoshikawa, Y. Masutani, O. Abe   +7 more
semanticscholar   +1 more source

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

The 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, Shangchun Fan, Han Lei, Xiaolei Qu, Dezhi Zheng   +4 more
doaj   +1 more source

Artificial Intelligence-Assisted Diagnosis for Early Intervention Patients

Applied 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, Norberto Díaz-Díaz, Carlos Barranco, Rocío Carrasco-Villalón   +3 more
doaj   +1 more source

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

International 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, Xin-Wen Fang, Mao-Nian Wu, Shao-Jun Zhu, Bo Zheng, Bang-Quan Liu, Tao Wu, Xiang-Qian Hong, Jian-Tao Wang, Wei-Hua Yang   +9 more
doaj   +1 more source

Osteoporosis detection in panoramic radiographs using a deep convolutional neural network-based computer-assisted diagnosis system: a preliminary study.

Dento maxillo facial radiology, 2019
Objectives To evaluate the diagnostic performance of a deep convolutional neural network (DCNN)-based computer-assisted diagnosis (CAD) system in the detection of osteoporosis on panoramic radiographs, through a comparison with diagnoses made by oral and
Jae-Seo Lee, S. Adhikari, Liu Liu, Hogul Jeong, Hyongsuk Kim, Suk-Ja Yoon   +5 more
semanticscholar   +1 more source

Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust

International Journal of Environmental Research and Public Health, 2022
Artificial intelligence (AI)-assisted diagnosis and treatment could expand the medical scenarios and augment work efficiency and accuracy. However, factors influencing healthcare workers’ adoption intention of AI-assisted diagnosis and treatment are not ...
Mengting Cheng, Xianmiao Li, Jicheng Xu
semanticscholar   +1 more source

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

Asian 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, Sung Tan Cho, Vit Kotheeranurak, Alvin Pun, Khanathip Jitpakdee, Peem Sarasombath   +5 more
doaj   +1 more source

A machine learning framework for automated diagnosis and computer-assisted planning in plastic and reconstructive surgery

Scientific Reports, 2019
Current computational tools for planning and simulation in plastic and reconstructive surgery lack sufficient precision and are time-consuming, thus resulting in limited adoption.
Paul G M Knoops, A. Papaioannou, A. Borghi, R. Breakey, Alexander T Wilson, O. Jeelani, S. Zafeiriou, D. Steinbacher, B. Padwa, D. Dunaway, S. Schievano   +10 more
semanticscholar   +1 more source

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

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   +3 more sources