Artificial Intelligence Medical Compendium

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

Showing 58,611 to 58,620 of 227,634 articles

TransSE: A Transfer Learning-Based Predictive Model for Distinguishing Super Enhancers and Typical Enhancers.

IEEE transactions on computational biology and bioinformatics
Super-enhancers (SEs), comprising clusters of transcriptional regulatory elements, play essential roles in gene expression regulation and cell fate determination. Current computational methods for identifying SEs from genomic sequences face challenge... read more 

Co-Adaptive Velocity and Position Control of 3-DoFs Prosthesis via Incremental Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Upper-limb prosthesis control remains challenging in achieving natural and intuitive movements, especially for devices with multiple actuated degrees of freedom (DoFs), often demanding high cognitive effort. Machine learning aids in mapping phantom l... read more 

Positive Data Augmentation Based on Manifold Heuristic Optimization for Image Classification.

IEEE transactions on pattern analysis and machine intelligence
Data augmentation is crucial for addressing insufficient training data, especially for augmenting positive samples. However, existing methods mostly rely on neural network-based feedback for data augmentation and often overlook the optimization of fe... read more 

Explainable AI framework for improved Thalassemia mental health classification and feature selection.

PloS one
Mental health challenges in Thalassemia patients are often overlooked, despite their significant impact on quality of life. Traditional statistical and machine learning approaches often fail to capture the complex, nonlinear relationships between psy... read more 

Bioinspired growable humanoid robot with bone-mimetic linkages for versatile mobility.

Science advances
Inspired by human biomechanics, humanoid robots are often designed to mimic human kinematics but typically lack key traits of developing bones, such as growability, lightweight yet stiff construction, and compliance for impact absorption. This work i... read more 

User experience and safety of generative AI-based mental health chatbots: Scoping review protocol.

PloS one
INTRODUCTION: Mental health problems constitute a significant global health challenge due to their rising prevalence and substantial treatment gap. Digital Mental Health Interventions (DMHIs) including mental health chatbots have emerged as promising... read more 

Full-Endoscopic Spine Surgery for Adjacent Segment Disease Using Artificial Intelligence-Assisted 3-Dimensional MRI/CT Fusion Imaging: A Case Report.

JBJS case connector
CASE: An 82-year-old woman presented with right medial thigh pain. Her medical history included multiple lumbar decompression and fusion surgeries. She was diagnosed with L3 radiculopathy secondary adjacent segment disease (ASD) after lumbar fusion. ... read more 

Prediction of 12-Week Remission in Patients With Depressive Disorder Using Reasoning-Based Large Language Models: Model Development and Validation Study.

JMIR mental health
BACKGROUND: Depressive disorder affects over 300 million people globally, with only 30% to 40% of patients achieving remission with initial antidepressant monotherapy. This low response rate highlights the critical need for digital mental health tool... read more 

Interpretable Machine Learning Integrates Flavor Classification with Source Attribution for Low-Salt Soy Sauce Optimization.

Journal of agricultural and food chemistry
Low-salt soy sauce (LSS) supports healthier diets but suffers flavor defects compared with high-salt and koikuchi soy sauce (HSS, KSS). In this study, an XGBoost-SHAP-MMVec model integrating a sensory-volatiles-microbiota triomics data set was develo... read more