[HTML][HTML] A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities

O Ali, W Abdelbaki, A Shrestha, E Elbasi… - Journal of Innovation & …, 2023 - Elsevier
Administrative and medical processes of the healthcare organizations are rapidly changing
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 …

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 …

Machine learning and orthodontics, current trends and the future opportunities: A scoping review

H Mohammad-Rahimi, M Nadimi, MH Rohban… - American Journal of …, 2021 - Elsevier
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 …

Appositeness of optimized and reliable machine learning for healthcare: a survey

S Swain, B Bhushan, G Dhiman… - Archives of Computational …, 2022 - Springer
Abstract Machine Learning (ML) has been categorized as a branch of Artificial Intelligence
(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 …

[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 …

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 …

Deep learning approaches for automatic localization in medical images

H Alaskar, A Hussain, B Almaslukh… - Computational …, 2022 - Wiley Online Library
Recent revolutionary advances in deep learning (DL) have fueled several breakthrough
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 …