AI Medical Compendium

Generative Artificial Intelligence for Environmental Assessment: A New Paradigm for Sustainability Analysis.

Environmental management Feb 9, 2026

This study presents a comprehensive review of the emerging role of Generative Artificial Intelligence (GenAI) in environmental assessment and sustainability analysis. Positioned within a new paradigm of environmental management, GenAI redefines tradi... read more

Development of a lightweight deep learning model for accurate assessment of liver fibrosis in biliary atresia.

Pediatric surgery international Feb 9, 2026

Brain imaging reveals hierarchical topology changes and stage-dependent impairments in autoimmune encephalitis.

Journal of neurology Feb 9, 2026

BACKGROUND: Autoimmune encephalitis is a rapidly progressing neurological disorder caused by aberrant immune responses against neural antigens. It presents with severe neuropsychiatric symptoms such as seizures and cognitive decline, highlighting the... read more

Modularly-Assembled Smart Microneedle Platform for Machine Learning-Driven Personalized Health Monitoring.

Nano-micro letters Feb 9, 2026

Given the inherent complexity of metabolic pathways and disease-associated agents, next-generation healthcare necessitates wearable, non-invasive, and customized approaches to continuously monitor a broad spectrum of physiologically relevant biomarke... read more

Exploring the toxicological impact of N-nitrosodimethylamine (NDMA) exposure on bladder urothelial carcinoma (BLCA) through network toxicology, machine learning, and multi-dimensional bioinformatics analysis.

Discover oncology Feb 9, 2026

BACKGROUND: N-Nitrosodimethylamine (NDMA), classified as a Group 1 carcinogen by the International Agency for Research on Cancer (IARC), is ubiquitous in drinking water, processed foods, and certain pharmaceuticals. Emerging epidemiological evidence ... read more

Deep learning for the change-point Cox model with current status data.

Lifetime data analysis Feb 9, 2026

This study develops estimation methods for a deep partially linear Cox proportional hazards model with a change point under current status data, aiming to accommodate complex change-point effects. Prior work has largely relied on linear models, which... read more

Exfoliated kidney cells from urine for non-invasive kidney transplant monitoring: A potential opportunity?

Clinical and experimental nephrology Feb 9, 2026

Kidney transplantation is usually the optimal treatment option for patients living with kidney failure given its associations with improved survival, quality of life outcomes and a reduction in the personal, economic, and societal burden of long-term... read more

Precision imaging and evolving therapies in paragangliomas and pheochromocytomas: from molecular diagnostics to imaging-guided management.

Insights into imaging Feb 9, 2026

Pheochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine tumors originating from neural crest-derived chromaffin tissue, marked by clinical heterogeneity and substantial genetic underpinnings. With up to 70% of cases linked to germline or... read more

Primary tumor-derived, multiparametric MRI-based deep learning-radiomics-clinical model for predicting lymph node metastasis in early-stage cervical cancer.

Insights into imaging Feb 9, 2026

OBJECTIVES: To develop and validate a primary tumor-derived, multiparametric MRI-based deep learning-radiomics-clinical (DLRC) model for predicting pelvic lymph node metastasis (LNM) in early-stage cervical cancer. MATERIALS AND METHODS: This retrosp... read more

Prediction of metabolically healthy obesity based on dietary nutrients: a comparative analysis of six machine learning models with SHAP and LIME interpretation.

Eating and weight disorders : EWD Feb 9, 2026

PURPOSE: The relationship between dietary nutrient intake and metabolically healthy obesity (MHO) remains poorly understood. This study aimed to construct machine learning models to predict MHO based on dietary nutrient profiles and to identify the m... read more

Artificial Intelligence Medical Compendium