Artificial Intelligence Medical Compendium

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

Showing 15,441 to 15,450 of 213,137 articles

Skeletal Muscle Mass Estimation from Lower Leg Digital Images Using Machine Learning.

Progress in rehabilitation medicine May 21, 2026
OBJECTIVES: In the current study, a convolutional neural network (CNN) model for estimating the skeletal muscle index (SMI) from lower leg digital images was developed, and its predictive performance was evaluated. METHODS: One hundred healthy adults... read more 

Human-AI Interaction in Kidney Transplant Decision Support Systems: Qualitative Study of Patient and Support Person Expectations.

Journal of medical Internet research May 21, 2026
BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, including clinical decision-making. AI-based decision support systems (DSS) can enhance early risk detection and treatment optimization. However, the perspectives of patien... read more 

Developing an AI-Trained Movement Screening Tool, Based on Skeleton Avatar Technique, to Evaluate and Promote Sustainable Physical Functioning in Daily Life.

Studies in health technology and informatics May 21, 2026
Maintaining mobility is vital for older adults. However, standardized functional tests often overlook crucial qualitative aspects, and expert assessments (EA) are costly and lack standardization. This project aims to develop an AI-based movement scre... read more 

Predicting 2-Year Overall Survival in NSCLC from CT Scans Using 2D CNNs and Soft Attention.

Studies in health technology and informatics May 21, 2026
Accurate overall survival (OS) prediction in non-small cell lung cancer (NSCLC) is crucial but challenging due to high-dimensional 3D computed tomography (CT) data, limited annotations, and time-to-event outcomes. Traditional 3D CNNs are computationa... read more 

Explainable Hierarchical Swin Transformer for Multi-Scale Breast Cancer Histopathology Classification.

Studies in health technology and informatics May 21, 2026
Accurate and transparent classification of breast cancer histopathology remains a major challenge due to morphological variability, class imbalance, and computational constraints in whole-slide image analysis. Convolutional neural networks (CNNs) cap... read more 

Automated Machine Learning Approaches for Surgery Duration Prediction in Orthopaedics.

Studies in health technology and informatics May 21, 2026
Accurate prediction of surgical case duration is essential for reducing operating room overruns and maximising theatre utilisation. Traditional estimation methods provide limited accuracy, with reported mean absolute errors (MAE) of 30-70 minutes. Th... read more 

Subgroup-Based Meta-Learning with Domain-Specific Self-Supervised Learning for Sarcopenia Detection from Musculoskeletal Ultrasound.

Studies in health technology and informatics May 21, 2026
Sarcopenia is a progressive muscle disorder linked to aging, frailty, and increased healthcare burden. While ultrasound imaging offers a practical and radiation-free tool for assessment, its diagnostic accuracy is limited by operator variability and ... read more 

Integrating Anomaly Detection and LLM-Based Explanation Generation in Clinical Data Dashboards.

Studies in health technology and informatics May 21, 2026
This paper presents an integrated approach that combines unsupervised anomaly detection with large language model (LLM)-based explanation generation to enhance the interpretability of clinical study dashboards. Using data from the P4D (Personalized, ... read more 

Integrating Radiomics and Machine Learning to Improve Fluorescence Image Segmentation in in vitro models.

Studies in health technology and informatics May 21, 2026
Myocardial infarction leads to fibrotic scar formation, compromising heart function and leading to heart failure. In vitro models of cardiac fibrotic tissue are essential tools for testing therapeutic strategies designed for this disease. Fluorescenc... read more 

Distinguishing Pain and No Pain in Musicians Through Machine Learning Analysis of Musculoskeletal Data.

Studies in health technology and informatics May 21, 2026
Musculoskeletal disorders are common among professional musicians and often linked to altered movement patterns. This study examined whether a combined Principal Component Analysis-Linear Discriminant Analysis (PCA-LDA) framework can identify interpr... read more 
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