AI Medical Compendium

Digital phenotyping for predicting relapse in psychiatric disorders: a systematic review of passive sensing approaches.

BMC psychiatry May 9, 2026

BACKGROUND: Digital phenotyping - the moment-by-moment quantification of individual-level human behavior using data from personal digital devices - offers a novel approach to continuous, passive monitoring of psychiatric patients. Changes in behavior... read more

AI-based diagnostic evaluation of GPT-4o for crown-fracture detection on maxillary periapical radiographs: effects of prompt detail and customization.

BMC oral health May 9, 2026

BACKGROUND/AIM: Artificial intelligence (AI) and large language models (LLMs) are rapidly entering dental imaging workflows. We conducted a diagnostic evaluation of GPT-4o for crown-fracture detection on periapical radiographs and examined how prompt... read more

The association between plasma IgG N-glycosylation and viral encephalitis in children: a hospital-based case-control study.

Italian journal of pediatrics May 9, 2026

BACKGROUND: Viral encephalitis (VE) is an acute inflammatory disease caused by viral infection. Children are at a significantly higher risk of developing VE than adults. Immunoglobulin G (IgG) N-glycosylation plays a key role in regulating the balanc... read more

Superlearner can predict in-hospital mortality risk in critically ill patients with ischemic stroke: development and international validation.

BMC medical informatics and decision making May 9, 2026

BACKGROUND: Critically ill patients with ischemic stroke face substantial in-hospital mortality. Early and accurate prediction of mortality risk may facilitate timely risk stratification and improve intensive care management. This study aimed to deve... read more

Artificial intelligence in nursing education: knowledge, perceptions, and associated factors among Egyptian nursing students across universities.

BMC nursing May 9, 2026

AIM: To assess Egyptian nursing students' level of AI knowledge, perceptions of AI benefits, and fears regarding AI in nursing education and practice, and to examine associated sociodemographic factors. BACKGROUND: The rapid integration of artificial... read more

Breaking the culture habit: Complementing culture-based veterinary diagnostics with metagenomic data -A case study of feline and canine skin infections.

BMC veterinary research May 9, 2026

BACKGROUND: Skin infections have been described as the primary cause for veterinary small animal practice visits, frequently requiring topical and systemic antibiotics. These infections often represent secondary complications of underlying pathologie... read more

Diagnostic accuracy of machine learning approaches for suicide‑related outcomes: a meta‑analysis.

Annals of general psychiatry May 9, 2026

OBJECTIVE: This diagnostic test accuracy meta-analysis aimed to provide clinically interpretable estimates (sensitivity, specificity, likelihood ratios (LR), predictive value (PV) and post‑test probabilities) for machine‑learning (ML) models predicti... read more

Generative models for antimicrobial peptide design: auto-encoders and beyond.

BioData mining May 9, 2026

BACKGROUND: As the number of multi-resistant pathogens grows rapidly, new strategies to accelerate the development of antimicrobial drugs are urgently needed. A promising candidate class of new antibiotics are antimicrobial peptides, showing a lower ... read more

Prediction of intrinsic solubility for drug-like organic compounds using automated network optimizer (ANO) for physicochemical feature and hyperparameter optimization.

Journal of cheminformatics May 9, 2026

Accurate prediction of aqueous solubility remains a critical challenge in the chemical and pharmaceutical industries, significantly influencing drug development and delivery. This study revisits this well-explored area by leveraging the advanced capa... read more

Intracranial compliance monitoring using pulse shape index in traumatic brain injury: relation to cerebral physiology and clinical outcome.

Critical care (London, England) May 9, 2026

BACKGROUND: The intracranial pressure (ICP) pulse waveform reflects intracranial compliance. The pulse shape index (PSI), an artificial intelligence (AI)-based metric ranging from 1 (normal) to 4 (disturbed), quantifies morphological waveform patholo... read more

Artificial Intelligence Medical Compendium