Artificial Intelligence Medical Compendium

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

Showing 12,691 to 12,700 of 210,436 articles

Dementia Prediction Using Gait Analysis and Machine Learning.

Studies in health technology and informatics May 21, 2026
Dementia is a progressive neurodegenerative disorder affecting millions of people worldwide. Early prediction of dementia, especially during the mild cognitive impairment (MCI) stage, is crucial for timely intervention and management. Gait analysis p... read more 

Towards the Definition of a Prognostic Model for Mantle Cell Lymphoma.

Studies in health technology and informatics May 21, 2026
Mantle cell lymphoma (MCL) has a heterogeneous clinical course, making robust, usable prognostic tools essential for risk-adapted care. In this paper, we worked at the definition of an effective and deployable prognostic model, tailored to a specific... read more 

Effects of Non-IID Distributions in Lung Cancer Data on Survival Prediction with Federated Ensemble Learning.

Studies in health technology and informatics May 21, 2026
A common challenge in Federated Learning (FL) is that distribution shifts between clients, or Non-IIDness, decrease global model performance. Non-IIDness means that data is not independently and identically distributed between participating sites. St... 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 
Popular Topics
Recent Journals