[HTML][HTML] A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
Applications of artificial intelligence in cardiovascular imaging
M Sermesant, H Delingette, H Cochet, P Jaïs… - Nature Reviews …, 2021 - nature.com
Research into artificial intelligence (AI) has made tremendous progress over the past
decade. In particular, the AI-powered analysis of images and signals has reached human …
decade. In particular, the AI-powered analysis of images and signals has reached human …
Deep learning for cephalometric landmark detection: systematic review and meta-analysis
F Schwendicke, A Chaurasia, L Arsiwala, JH Lee… - Clinical oral …, 2021 - Springer
Objectives Deep learning (DL) has been increasingly employed for automated landmark
detection, eg, for cephalometric purposes. We performed a systematic review and meta …
detection, eg, for cephalometric purposes. We performed a systematic review and meta …
Machine learning and orthodontics, current trends and the future opportunities: A scoping review
Introduction In recent years, artificial intelligence (AI) has been applied in various ways in
medicine and dentistry. Advancements in AI technology show promising results in the …
medicine and dentistry. Advancements in AI technology show promising results in the …
Appositeness of optimized and reliable machine learning for healthcare: a survey
Abstract Machine Learning (ML) has been categorized as a branch of Artificial Intelligence
(AI) under the Computer Science domain wherein programmable machines imitate human …
(AI) under the Computer Science domain wherein programmable machines imitate human …
TAE-Net: Task-adaptive embedding network for few-shot remote sensing scene classification
W Huang, Z Yuan, A Yang, C Tang, X Luo - Remote Sensing, 2021 - mdpi.com
Recently, approaches based on deep learning are quite prevalent in the area of remote
sensing scene classification. Though significant success has been achieved, these …
sensing scene classification. Though significant success has been achieved, these …
[HTML][HTML] EchoEFNet: multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography
H Li, Y Wang, M Qu, P Cao, C Feng, J Yang - Computers in Biology and …, 2023 - Elsevier
Left ventricular ejection fraction (LVEF) is essential for evaluating left ventricular systolic
function. However, its clinical calculation requires the physician to interactively segment the …
function. However, its clinical calculation requires the physician to interactively segment the …
Artificial intelligence for detecting cephalometric landmarks: a systematic review and meta-analysis
G de Queiroz Tavares Borges Mesquita… - Journal of Digital …, 2023 - Springer
Using computer vision through artificial intelligence (AI) is one of the main technological
advances in dentistry. However, the existing literature on the practical application of AI for …
advances in dentistry. However, the existing literature on the practical application of AI for …
Deep learning approaches for automatic localization in medical images
Recent revolutionary advances in deep learning (DL) have fueled several breakthrough
achievements in various complicated computer vision tasks. The remarkable successes and …
achievements in various complicated computer vision tasks. The remarkable successes and …
Artificial intelligence-aided detection of ectopic eruption of maxillary first molars based on panoramic radiographs
J Liu, Y Liu, S Li, S Ying, L Zheng, Z Zhao - Journal of Dentistry, 2022 - Elsevier
Objectives Ectopic eruption (EE) of maxillary permanent first molars (PFMs) is among the
most frequent ectopic eruption, which leads to premature loss of adjacent primary second …
most frequent ectopic eruption, which leads to premature loss of adjacent primary second …