AI Medical Compendium

Deep learning-enhanced QSAR modeling for predicting developmental neurotoxicity based on molecular initiating events from adverse outcome pathways.

Molecular diversity Jan 23, 2026

Developmental neurotoxicity (DNT) is linked to chemical exposure that disrupts the nervous system in humans or animals. Traditional methods for assessing chemical toxicity are valuable but often time-consuming, costly, and involve significant animal ... read more

Artificial Intelligence and Guideline-Augmented Prompting in Assessing the Need for Preoperative Cardiology Consultation.

Turk Kardiyoloji Dernegi arsivi : Turk Kardiyoloji Derneginin yayin organidir Jan 23, 2026

OBJECTIVE: With the growing elderly population worldwide, the number of annual surgical procedures has risen substantially, leading to an increase in the demand for preoperative cardiology consultations. In parallel, recent years have witnessed remar... read more

Automated landmark detection on lateral photographs using artificial intelligence: diagnostic accuracy compared to expert annotations.

Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie Jan 23, 2026

PURPOSE: Lateral photographs are routinely evaluated as part of orthodontic diagnostics and treatment planning. Anthropometric measurements based on soft tissue landmarks are taken to evaluate facial features and attractiveness. The detection of thes... read more

[Wolff-Parkinson-White syndrome : Comparison of different algorithms].

Herzschrittmachertherapie & Elektrophysiologie Jan 23, 2026

BACKGROUND: Wolff-Parkinson-White (WPW) syndrome is characterised by accessory pathways that bypass the normal atrioventricular conduction system. Precise preprocedural localisation is pivotal for optimising ablation strategy, minimising complication... read more

Impact of AI-assisted decision support on radiological diagnosis of jawbone lesions.

Clinical oral investigations Jan 23, 2026

Structure-based and machine learning-assisted identification of natural phytochemicals targeting Mycobacterium leprae InhA for anti-mycobacterial therapeutics.

Folia microbiologica Jan 23, 2026

Mycobacterium leprae (M. leprae) is the bacterium that causes leprosy. It is a public health problem in many regions, especially in developing countries. The situation is getting worse and worse as drug resistance spreads. InhA is one of the most imp... read more

Expression of key genes in IVIG-unresponsive Kawasaki disease and their immune correlation based on bioinformatics analysis.

Immunologic research Jan 23, 2026

This study employed bioinformatics to analyze the gene expression profile of Kawasaki disease (KD) patients and identify key genes associated with intravenous immunoglobulin (IVIG) non-response. The aim was to elucidate the pathogenesis of IVIG non-r... read more

Machine Learning-Assisted Autism Risk Stratification in Toddlers Using the Vietnamese M-CHAT-R and Perinatal Predictors: A Cross-Sectional Study in Vietnam.

Journal of autism and developmental disorders Jan 23, 2026

Novel bayesian nonparametric unsupervised learning approach to precision symptom management in cancer survivors: a re-analysis of a comparative effectiveness trial.

Journal of behavioral medicine Jan 23, 2026

Cancer survivors often experience multiple cooccurring symptoms such as insomnia, pain, fatigue, and anxiety; yet conventional analyses in symptom science typically analyze symptoms one at a time and thus overlook putative clusters of shared symptom ... read more

Why Metrological Traceability Matters in Medical Laboratory Diagnostics.

The journal of applied laboratory medicine Jan 23, 2026

Application of the results provided by medical laboratories plays an essential role in medical decision-making. This is not limited to diagnosis and monitoring of disease but also involves its use in other phases of the health continuum, e.g., predis... read more

Artificial Intelligence Medical Compendium