AI Medical Compendium

Bioinspired hybrid optimisation and deep belief neural networks for early chronic kidney disease detection: an explainable clinical AI framework.

Renal failure Mar 15, 2026

The early detection of chronic kidney disease (CKD) can lead to timely and appropriate clinical intervention. However, most CKD diagnostic systems rely on redundant features and provide unreliable results in small and unbalanced datasets. Therefore, ... read more

MetaDent: Labeling Clinical Images for Vision-Language Models in Dentistry.

Journal of dental research Mar 15, 2026

Vision-language models (VLMs) have demonstrated significant potential in medical image analysis, yet their application in intraoral photography remains largely underexplored due to the lack of fine-grained, annotated datasets and comprehensive benchm... read more

Smart Enantioseparation: A Critical Review of Instrumentation, Automation, and Data-Driven Strategies in Analytical Chirality.

Critical reviews in analytical chemistry Mar 15, 2026

Enantioseparation remains essential in pharmaceutical and bioanalytical sciences, yet method development continues to rely heavily on empirical column screening and experience-driven optimization. Although recent advances in miniaturized platforms, h... read more

Gait and movement analysis for discrimination between people with dementia and healthy control persons based on pose estimation and machine learning.

Journal of Alzheimer's disease : JAD Mar 15, 2026

BackgroundDementia disorders are affecting millions of people globally, characterized by memory loss, communication difficulties, and motor function decline. Accurate and early dementia detection is crucial for effective management and treatment. Gai... read more

Development and Validation of an Automated Pediatric Cancer Staging Calculator Using the Toronto Pediatric Cancer Stage Guidelines.

Pediatric blood & cancer Mar 15, 2026

BACKGROUND: Pediatric cancer stage at diagnosis is critical for prognosis and research comparisons. The Toronto Pediatric Cancer Stage Guidelines standardize staging across childhood malignancies. We developed a framework for automated staging of ped... read more

Ecosystem services in the Yangtze River Economic Belt: Spatiotemporal characteristics, trade-offs/synergies, and driving factors.

Integrated environmental assessment and management Mar 15, 2026

Ecosystem services (ES) play a vital role in socioeconomic development. Existing research has primarily focused on single-service assessments and linear relationships, overlooking often neglecting non-linear interactions, threshold effects, and spati... read more

Protective Effect of the FOXO3 Gene in Cardiometabolic Disease in the CHAMP Cohort.

The journals of gerontology. Series A, Biological sciences and medical sciences Mar 15, 2026

Recent findings from the Honolulu Heart Program cohort in Hawaii suggest a longevity-associated variant of FOXO3 may provide resilience against cardiometabolic diseases (CMD), such as hypertension, diabetes, and angina. The present study utilizes dat... read more

Evaluating the efficacy and readability of advanced large language models in responding to patients' frequently asked questions about chronic rhinosinusitis: a comparative analysis.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Mar 15, 2026

Beyond whole-image learning: anatomically partitioned deep learning models for superior sinonasal disease classification.

European radiology Mar 15, 2026

OBJECTIVES: Whole-image deep learning models for CT diagnosis of nasal cavity and paranasal sinus diseases often underperform because they disregard anatomical heterogeneity. We hypothesized that anatomically partitioned deep learning would enhance d... read more

Explainable deep learning for early diagnosis of chronic kidney disease from CT images in Bangladeshi patients.

Scientific reports Mar 15, 2026

Artificial Intelligence Medical Compendium