AI Medical Compendium

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

A novel machine learning model of smartphone-based 1-minute sit-to-stand test for prediction of six-minute walk test distance in patients with COPD.

Clinics (Sao Paulo, Brazil) Apr 3, 2026

BACKGROUND: Regular assessment of exercise tolerance is essential for managing COPD, nevertheless, the standard 6-Minute Walk Test (6MWT) is difficult to perform outside clinical settings. This study aimed to develop and validate a smartphone-based d... read more

Managing behavior in AI-mediated English education: The interplay of teachers, technology, and communication willingness.

Acta psychologica Apr 3, 2026

This study investigates the relations between teacher AI behavior management competence and the willingness of university students to communicate in English in AI mediated English as a foreign language classroom in China. Drawing on the Cognitive The... read more

LTF-MSPCNet: A synergistic approach combining attention mechanisms and local texture features for oil spill segmentation in SAR images.

Marine pollution bulletin Apr 3, 2026

Marine oil spills represent a significant environmental pollution incident that severely disrupts the balance and stability of marine ecosystems. SAR (Synthetic Aperture Radar) demonstrates significant potential in oil spill detection due to its all-... read more

From statistics to deep learning in single-molecule fluorescence resonance energy transfer analysis.

Current opinion in structural biology Apr 3, 2026

Single-molecule fluorescence resonance energy transfer (smFRET) is a versatile technique for studying biomolecular dynamics and function by detecting nanoscale movements as fluorescence signals. Analysing such signals is a complex exercise, which has... read more

Artificial Intelligence Medical Compendium