AI Medical Compendium

Application of multimodal ultrasound radiomics in the diagnosis of superficial lymph node tuberculosis.

BMC medical imaging May 9, 2026

OBJECTIVE: To develop preoperative diagnostic models for superficial lymph node tuberculosis (LNTB) using radiomic features extracted from multimodal ultrasound imaging, including gray-scale ultrasound (US), ultrasound elastography (UE), and contrast... read more

A human-AI collaborative workflow for improved gross tumor volume delineation in esophageal cancer radiotherapy.

BMC medical imaging May 9, 2026

BACKGROUND: Esophageal cancer tumors exhibit complex and variable distribution. Due to differences in clinical experience, junior oncologists often show less accuracy in gross tumor volume (GTV) delineation compared to their senior counterparts. Deep... read more

Occupational and socioeconomic predictors of myocardial infarction and coronary heart disease: a machine learning analysis.

BMC public health May 9, 2026

BACKGROUND: Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality worldwide. Although traditional cardiovascular risk models primarily rely on biomedical factors, socioeconomic and occupational characteristics are increasing... read more

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

An artificial intelligence classifier as a screening tool to rule out otitis media in children.

International journal of pediatric otorhinolaryngology May 9, 2026

OBJECTIVE: Acute otitis media is the most common bacterial infection among children and a significant global health burden. Despite its high incidence, diagnostic accuracy is poor. The objective of this study was to evaluate whether an artificial int... read more

Quantifying wildfire impacts on atmospheric pollutants using fire exposure metrics and machine-deep learning approaches.

Scientific reports May 9, 2026

Wildfires are increasingly recognised as major contributors to atmospheric pollution, yet their spatial-temporal influence on regional air quality remains insufficiently understood. This study quantifies the impact of wildfire activity on atmospheric... read more

Comparative analysis of large language models and clinicians in thyroid eye disease using structured questionnaires.