Artificial Intelligence Medical Compendium

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

Showing 13,791 to 13,800 of 211,462 articles

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 

AI and Digital-Twin Synergy for Field Optimisation for Targeted Drug Delivery.

Studies in health technology and informatics May 21, 2026
Precise mapping of magnetic fields is crucial for magnetic drug targeting, microrobotics, and magnetically actuated biomedical devices. In this paper, we present an integrative approach that combines Finite Element Method Magnetics simulations, AI-ge... read more 

Enhancing Unsupervised Segmentation Frameworks for Volumetric Medical Images via Superpixel Segmentation and Agglomerative Clustering.

Studies in health technology and informatics May 21, 2026
Medical image segmentation plays a crucial role in precise diagnosis and disease monitoring. Current state-of-the-art (SOTA) segmentation methods, such as nnUNet [1], require a large amount of human-annotated segmentation ground truths, which are tim... read more 

Non-Invasive Prediction of Embryo Ploidy from Time-Lapse Videos Using Video Vision Transformers (ViViT).

Studies in health technology and informatics May 21, 2026
Accurate selection of viable embryos is crucial in in vitro fertilisation (IVF) to improve clinical outcomes. Traditional embryo assessment relies on subjective visual evaluation or invasive genetic testing, each with inherent limitations. To address... read more 
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