AI Medical Compendium

AnomLocal: A hybrid local-global anomaly detection model for network security using federated learning.

PloS one Feb 2, 2026

Securing distributed network infrastructures has become a major priority in modern cybersecurity, where diverse data sources and increasingly sophisticated attacks challenge the reliability of traditional anomaly detection systems. Centralised and lo... read more

Multiscale segmentation using hierarchical phase-contrast tomography and deep learning.

PLoS computational biology Feb 2, 2026

Biomedical systems span multiple spatial scales, encompassing tiny functional units to entire organs. Interpreting these systems through image segmentation requires the effective propagation and integration of information across different scales. How... read more

Modeling Zero-Dose Children in Ethiopia: A Machine Learning Perspective on Model Performance and Predictor Variables.

JMIR pediatrics and parenting Feb 2, 2026

BACKGROUND: Despite progress in childhood vaccination, many children in low- and middle-income countries, including Ethiopia, remain unvaccinated, presenting a significant public health challenge. The Immunization Agenda 2030 (IA2030) seeks to halve ... read more

Molecular classification of radiation-induced meningiomas.

International journal of radiation biology Feb 2, 2026

PURPOSE: Radiation-induced meningiomas (RIMs) are an uncommon late complication of cranial irradiation that frequently display aggressive behavior. Although recent genomic and epigenomic studies have redefined sporadic meningiomas into four molecular... read more

Developing a Multimodal Screening Algorithm for Mild Cognitive Impairment and Early Dementia in Home Health Care: Protocol for a Cross-Sectional Case-Control Study Using Speech Analysis, Large Language Models, and Electronic Health Records.

JMIR research protocols Feb 2, 2026

BACKGROUND: Mild cognitive impairment and early dementia (MCI-ED) are frequently unrecognized in routine care, particularly in home health care (HHC), where clinical decisions are made under time constraints and cognitive status may be incompletely d... read more

Evaluation of Large Language Models for Radiologists' Support in Multidisciplinary Breast Cancer Teams: Comparative Study.

JMIR medical informatics Feb 2, 2026

BACKGROUND: Artificial intelligence tools, particularly large language models (LLMs), have shown considerable potential across various domains. However, their performance in the diagnosis and treatment of breast cancer remains unknown. OBJECTIVE: Thi... read more

Gamified Physical Education and Cognitive Performance Among Chinese Secondary School Students: Cross-Sectional Moderation Mediation Study.

JMIR serious games Feb 2, 2026

BACKGROUND: Educators are exploring new methods to educate beyond the classroom as global concerns about students' cognitive, emotional, and social well-being grow. Physical education (PE) has been demonstrated to boost cognitive and psychological ou... read more

The Accuracy of Artificial Intelligence Models in Carpal Tunnel Diagnosis: A Systematic Review and Meta-analysis.

Plastic and reconstructive surgery Feb 2, 2026

BACKGROUND: Artificial intelligence (AI) has been integrated into diagnostic modalities like nerve conduction studies (NCS) and ultrasound (US) to improve their performance in detecting idiopathic median neuropathy at the carpal tunnel (IMNCT), and i... read more

Thermodynamic uncertainty relation constraints information transmission through cell signaling systems.

Physical biology Feb 2, 2026

Biological systems in general operates out of equilibrium which demands the requirement for constant supply of energy due to non-equilibrium entropy production. The thermodynamic uncertainty relation (TUR) essentially imposes a bound on minimum curre... read more

Modelling of photoemission characteristics for AlGaN nanoarrays photocathode accelerated by machine learning: from aspects of optical properties.

Journal of physics. Condensed matter : an Institute of Physics journal Feb 2, 2026

Nanoarray photocathodes involve several characteristic parameters, making it difficult to achieve global optimization for optical properties. In this paper, the reflectance characteristics of AlGaN nanoarrays were parametrically scanned by COMSOL (na... read more

Artificial Intelligence Medical Compendium