AI Medical Compendium

Digital hypertension in 2024-2025: emerging evidence and future directions.

Hypertension research : official journal of the Japanese Society of Hypertension Jan 28, 2026

Recent advances in digital technology are remarkable, and they are driving profound transformations in healthcare and medical research. Within this context, digital hypertension has emerged as a multidisciplinary paradigm that integrates novel digita... read more

The Utility of Face2Gene App for Syndrome Recognition in Indian Children with Dysmorphism.

Indian journal of pediatrics Jan 28, 2026

OBJECTIVES: To determine the accuracy of Face2Gene (F2G) app in the diagnosis of a genetic syndrome as a first correct response, after uploading the image of the patient in the app (top 1 accuracy), first 3 responses (top 3 accuracy), and first 10 re... read more

AI for caries detection: how close are we to clinical use?

Evidence-based dentistry Jan 28, 2026

A COMMENTARY ON: Abbott LP, Saikia A, Anthonappa RP. Artificial intelligence platforms in dental caries detection: a systematic review and meta-analysis. J Evid Based Dent Pract. 2025; https://doi.org/10.1016/j.jebdp.2024.102077 . DATA SOURCES: The s... read more

Advancement of cataract classification with artificial intelligence using anterior segment optical coherence tomography images with self-supervised vision transformer.

Japanese journal of ophthalmology Jan 28, 2026

PURPOSE: To evaluate the efficacy of a self-supervised learning Vision Transformer (ViT) for classification of the nucleus, cortex, and posterior capsule cataract severity utilizing anterior segment optical coherence tomography (AS-OCT) images. STUDY... read more

Glomeruli detection and classification in histopathological images using deep learning semantic segmentation.

BMC medical imaging Jan 28, 2026

Development and validation of a neural network survival prediction model for ischemic heart disease.

Cardiovascular diabetology Jan 28, 2026

BACKGROUND: Current risk prediction models for ischemic heart disease in clinical use are relatively simple and use a limited collection of well-known risk factors. Using machine learning to integrate a broader panel of features from electronic healt... read more

Artificial intelligence (AI) and machine learning (ML) in ovarian cancer: transforming detection, treatment, and prevention.

Journal of ovarian research Jan 28, 2026

Disentangling within season sources of variation for field-level phenotyping of grapevine.

Tree physiology Jan 28, 2026

Field experiments are complex to interpret due to interactions between genotypes, environment, plant development, and cultivation practices. This complexity challenges the accurate phenotyping of individual plant traits over the season. Here, we quan... read more

Decrypting potential mechanisms linking ochratoxin A to hepatocellular carcinoma: an integrated approach combining toxicology, machine learning, molecular docking, and molecular dynamics simulation.

BMC pharmacology & toxicology Jan 28, 2026

BACKGROUND: Ochratoxin A (OTA), a common food-borne mycotoxin, is a potential human carcinogen, yet the specific molecular mechanisms linking it to hepatocellular carcinoma (HCC) remain unclear. METHODS: We integrated network toxicology to predict OT... read more

Lipoprotein(a) Selectively Associates with Vulnerable Coronary Plaque Phenotypes in Comparison with Other Established Risk Markers.

European heart journal. Cardiovascular Imaging Jan 28, 2026

AIMS: Lipoprotein(a) [Lp(a)] is an inherited cardiovascular risk factor. However, its association with coronary plaque characteristics beyond traditional risk enhancers remains unclear. We aimed to evaluate the association between Lp(a) levels and co... read more

Artificial Intelligence Medical Compendium