AI Medical Compendium

Simple Things.

Professional case management Jan 15, 2026

At a time when the geopolitical environment (including health care) seem chaotic and daunting, there are some timeless aspects that only the humanity of case managers can bring to the table. These "simple things" may be the most important-and are wha... read more

Shape matters: Predicting Huntington's disease using progression modelling.

Computer methods and programs in biomedicine Jan 15, 2026

BACKGROUND: Despite evidence of group-level differences in striatal morphometry among persons with Huntington's Disease (PwHD), current models of HD progression used for participant selection and assessment of treatment outcomes in clinical trials do... read more

Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis.

Medical image analysis Jan 15, 2026

Retinal diseases spanning a broad spectrum can be effectively identified and diagnosed using complementary signals from multimodal data. However, multimodal diagnosis in ophthalmic practice is typically challenged in terms of data heterogeneity, pote... read more

Rethinking U-Net architecture in medical imaging: Advancing the efficient and interpretable UKAN-CBAM framework for colorectal polyp segmentation.

Artificial intelligence in medicine Jan 15, 2026

Prompt detection of colorectal polyps is essential for preventing colorectal cancer, a leading cause of cancer-related deaths worldwide. However, manual detection through medical imaging faces significant challenges, including high costs, reliance on... read more

Unveiling the fate of heavy metals along the soil-rice-human pathway: Source-sink quantification, rhizospheric processes, and health implications.

Journal of hazardous materials Jan 15, 2026

Rapid industrial and agricultural intensification is increasing multi-source heavy metals (HMs) inputs into farmland, escalating risks to soil-crop system safety and human health. Limited source-sink flux data and inaccurate exposure estimates hinder... read more

Ultrasound measurements and normal values of the liver: a comprehensive review and practical guide.

Medical ultrasonography Jan 15, 2026

Reliable and reproducible sonographic measurements are essential for accurate liver assessment, both in daily clinical practice and in research. Reference values enable clinicians to differentiate between physiological and pathological findings and t... read more

GSR-ST: A generalized spatial-temporal framework for genomic signals and regions prediction using multi-scale feature fusion.

Computational biology and chemistry Jan 15, 2026

Genomic DNA sequences contain diverse functional genomic signals and regions (GSRs) that are crucial for regulating gene expression. The precise identification of these GSRs is fundamental to elucidating genomic architecture and understanding regulat... read more

Biometric Data in Post-Traumatic Stress Disorder Detection: A Scoping Review of Digital Health Applications.

International journal of medical informatics Jan 15, 2026

CONTEXT: Post-traumatic stress disorder (PTSD) is mainly assessed through self-reports and clinician interviews, which can delay recognition and limit reach. Biometric markers captured using digital technologies may enable earlier and more objective ... read more

Comment on "Early warning of harmful cyanobacteria blooms based on high frequency in situ monitoring and intelligible machine learning modelling: The case study of Lake Müggelsee (Germany)" by Recknagel et al. (Water Research 287 2025 124,514).

Water research Jan 15, 2026

Recknagel et al. (2025) present a timely study leveraging high-frequency in-situ data and three fundamentally different machine learning algorithms to forecast cyanobacterial blooms in Lake Müggelsee at a 5-day horizon. However, we note that four met... read more

Construction of a classification system for long-term care service needs among the elderly based on cluster analysis and machine learning: A multi-center, cross-sectional study in central China.

International journal of nursing studies Jan 15, 2026

BACKGROUND: Rapid global aging has led to an increasing demand for long-term care services for the elderly; however, current long-term care systems are underdeveloped and under-resourced. It is essential to develop an effective classification system ... read more

Artificial Intelligence Medical Compendium