Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,791 to 1,800 of 6,954 articles

Phase recognition in manual Small-Incision cataract surgery with MS-TCN + + on the novel SICS-105 dataset.

Scientific reports May 21, 2025
Manual Small-Incision Cataract Surgery (SICS) is a prevalent technique in low- and middle-income countries (LMICs) but understudied with respect to computer assisted surgery. This prospective cross-sectional study introduces the first SICS video data... read more 
Humans Prospective Studies Female Aged Cross-Sectional Studies Male Middle Aged Deep Learning ROC Curve India Cataract Extraction Cataract Surgery, Computer-Assisted Phacoemulsification

A dynamic attention mechanism for road extraction from high-resolution remote sensing imagery using feature fusion.

Scientific reports May 21, 2025
Accurate road information is critical for intelligent navigation and urban planning. Compared with traditional road detection methods, deep learning-based approaches have demonstrated significant advantages in road extraction from remote sensing imag... read more 

A practical evaluation of AutoML tools for binary, multiclass, and multilabel classification.

Scientific reports May 21, 2025
Selecting the most suitable Automated Machine Learning (AutoML) tool is pivotal for achieving optimal performance in diverse classification tasks, including binary, multiclass, and multilabel scenarios. The wide range of frameworks with distinct feat... read more 

A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network.

Scientific reports May 21, 2025
Masked identification of faces is necessary for authentication purposes. Face masks are frequently utilized in a wide range of professions and sectors including public safety, health care, schooling, catering services, production, sales, and shipping... read more 
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Automated Facial Recognition Face Biometric Identification Masks Facial Recognition Generative Adversarial Networks

Predicting the availability of power line communication nodes using semi-supervised learning algorithms.

Scientific reports May 21, 2025
Power Line Communication (PLC) facilitates the usage of power cables to transmit data. The issue is that sending data to unavailable nodes is time-consuming. Machine Learning has solved this by predicting a node having optimum readings. The more the ... read more 

Cultural differences in the beauty premium.

Scientific reports May 21, 2025
A large body of research suggests that better-looking people are associated with various positive outcomes, an effect labeled the beauty premium. However, the vast majority of this evidence has been demonstrated in WEIRD (Western, Educated, Industria... read more 
Humans Machine Learning Language Female Male Culture Beauty

Deep learning based multi attribute evaluation for holistic student assessment in physical education.

Scientific reports May 21, 2025
The evaluation of students in physical education remains a formidable challenge due to the limitations of traditional assessment approaches, which are often excessively one-dimensional. This study proposes a solution utilizing deep learning via multi... read more 

Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment.

Scientific reports May 20, 2025
The swift development of the Internet of Things (IoT) devices has created a pressing need for effective cybersecurity measures. They are vulnerable to different cyber threats that can compromise the functionality and security of urban systems. Distri... read more 

Petri graph neural networks advance learning higher order multimodal complex interactions in graph structured data.

Scientific reports May 20, 2025
Graphs are widely used to model interconnected systems, offering powerful tools for data representation and problem-solving. However, their reliance on pairwise, single-type, and static connections limits their expressive capacity. Recent development... read more 

Heuristic optimization in classification atoms in molecules using GCN via uniform simulated annealing.

Scientific reports May 20, 2025
Graph neural networks are becoming increasingly popular in deep learning due to their ability to process data in irregular structures and graphs thus preserving additional spatial dependencies due to the arrangement of nodes. This network allows for ... read more 
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