AI Medical Compendium

Improving Diabetic Foot Care With Infrared Thermography and Artificial Intelligence: A Review.

Journal of diabetes science and technology Apr 3, 2026

BACKGROUND: One of the most common consequences in individuals with diabetes is the diabetic foot, which can cause foot ulcers and even lead to limb amputation. Since an increase of the temperature in the plantar region is directly correlated with an... read more

INB3P: A Multi-Modal and Interpretable Co-Attention Framework Integrating Property-Aware Explanations and Memory-Bank Contrastive Fusion for Blood-Brain Barrier Penetrating Peptide Discovery.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 3, 2026

Functional peptide discovery, particularly for blood-brain barrier-penetrating peptides (BBBPPs), is strictly limited by extreme data scarcity and the "black-box" nature of deep learning. Here, INB3P is presented as a physics-informed, multi-modal fr... read more

Cluster-defined gout subtypes exhibit divergent chronic kidney disease trajectories: a machine learning approach in a Chinese prospective cohort.

Rheumatology (Oxford, England) Apr 3, 2026

OBJECTIVE: To systematically evaluate the contribution of clinical heterogeneity to chronic kidney disease (CKD) progression in gout patients using data-driven phenotyping, and to assess whether incorporating genetic risk improves prediction of renal... read more

From phenotypes to trajectories: Machine learning in asthma beyond labels.

The Journal of allergy and clinical immunology Apr 3, 2026

MZSGO: multimodal zero-shot protein function annotation via evolutionary signals and textual semantics.

Bioinformatics (Oxford, England) Apr 3, 2026

MOTIVATION: Although deep learning has significantly advanced the field of protein function prediction, current approaches are limited by their reliance on a narrow set of modalities. Specifically, they primarily rely on sequence patterns and treat p... read more

Letter to the editor: "Development and internal validation of machine learning in predicting prognosis of acute kidney injury patients in resource-limited setting".

Journal of critical care Apr 3, 2026

Deep learning for dentomaxillofacial cone-beam computed tomography enhancement: A systematic review and meta-analysis.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Apr 3, 2026

BACKGROUND: Cone-beam computed tomography (CBCT) is widely used in dentomaxillofacial imaging and radiotherapy but is limited by noise and low contrast resolution. Deep learning (DL) has emerged as a promising tool for CBCT enhancement, improving ima... read more

Evaluating the accuracy and feasibility of a commercial AI-powered ergonomic assessment system for automotive assembly work.

Applied ergonomics Apr 3, 2026

Accurate ergonomic risk assessment is essential to prevent work-related musculoskeletal disorders. Artificial intelligence (AI) and computer vision offer new opportunities for automatic risk assessment, but accuracy and usability remain uncertain. We... read more

Medication adherence among older adults: Current practices and prospects for AI integration.

Applied ergonomics Apr 3, 2026

Poor medication adherence is one of the leading causes for health problems among older adults in the United States. This paper examines older adults' current medication adherence practices and tools, supporting medication adherence in older adults an... read more

Evaluating the quality of online health information: A comparative study of COPD patient information in Facebook forums versus ChatGPT.

International journal of medical informatics Apr 3, 2026

BACKGROUND: Patients with chronic obstructive pulmonary disease (COPD) increasingly turn to online platforms for health information. However, the quality of information shared in social media forums remains uncertain. This study compared the accuracy... read more

Artificial Intelligence Medical Compendium