Artificial Intelligence Medical Compendium

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

Showing 181 to 190 of 6,548 articles

The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns.

Scientific reports
The diverse nature and timing of a clubfoot relapse pose challenges for early detection. A relapsed clubfoot typically involves a combination of deformities affecting a child's movement pattern across multiple joint levels, formed by a complex kinema... read more 

Predicting geriatric environmental safety perception assessment using LightGBM and SHAP framework.

Scientific reports
Global population aging highlights the need to understand how the elderly perceive safety in urban public spaces. This study used image semantic segmentation to identify key visual elements from panoramic images. A dataset was created by combining ma... read more 

Adaptive sliding mode fault-tolerant control of UAV systems based on radial basis function neural networks.

Scientific reports
This paper investigates the performance decline in complex systems, such as Unmanned Aerial Vehicles (UAVs), caused by unanticipated faults and external perturbations. To improve system resilience and achieve swift recovery without depending on fault... read more 

An efficient deep learning approach with frequency and channel optimization for underwater acoustic target recognition.

Scientific reports
Ship radiated noise (SRN) recognition is challenging due to environmental noise and the broad frequency range of underwater signals. Existing deep learning models often include irrelevant frequencies and use red, green, and blue (RGB) channel configu... read more 

Blockchain-enabled federated learning with edge analytics for secure and efficient electronic health records management.

Scientific reports
The rapid adoption of Federated Learning (FL) in privacy-sensitive domains such as healthcare, IoT, and smart cities underscores its potential to enable collaborative machine learning without compromising data ownership. However, conventional FL fram... read more 

Investigation of key ferroptosis-associated genes and potential therapeutic drugs for asthma based on machine learning and regression models.

Scientific reports
Bronchial asthma is a complex and heterogeneous disease, with ferroptosis, a form of non-apoptotic cell death, contributing to its pathogenesis by inducing airway epithelial damage, inflammatory infiltration, and airway remodeling. Investigating ferr... read more 

A visualized machine learning model using noninvasive parameters to differentiate men with and without prostatic carcinoma before biopsy.

Scientific reports
This study aimed to create a visualized extreme gradient boosting (XGBOOST) model to distinguish prostatic carcinoma (PCA) from non-PCA using noninvasive prebiopsy parameters before biopsy. This was a cross-sectional study of 310 Chinese men who unde... read more 

A machine learning optimized Dielectric Ultra-focused Oscillatory (DUO) electrode for low temperature electrosurgery.

Scientific reports
The widespread adoption of radio frequency (RF) energy has made electrosurgery a cornerstone of modern surgical procedures, primarily due to its ability to minimize blood loss during, or independent of, tissue incision. Among the various electrosurgi... read more 

Optimization of concrete with human hair using experimental study and artificial neural network via response surface methodology and ANOVA.

Scientific reports
The increasing demand for sustainable construction materials has prompted the investigation of non-biodegradable waste, such as human hair (HH), for concrete reinforcement. This study seeks to evaluate the impact of HH fiber on the fresh, physical, a... read more 

Finite-time fault-tolerant tracking control for a QUAV with mixed faults and external disturbances based on adaptive global fast terminal sliding mode neural network control method.

Scientific reports
This paper addresses the finite-time tracking control problem for a class of quadrotor unmanned aerial vehicle (QUAV) subject to unknown mixed faults and external disturbances. The considered mixed faults include both input quantization and actuator ... read more