AI Medical Compendium

From behavioral to structural correlates: a multi-phase analysis of global reported mpox.

BMC medicine Jul 21, 2026

BACKGROUND: Mpox epidemiology has expanded from endemic zoonotic spillover to sustained human-to-human transmission. While behavioral risk factors have been well recognized, how macro-level correlates of mpox burden vary across epidemic phases remain... read more

A bladder cancer-associated gene signature for exploratory qPCR-based survival stratification in NAC-Treated muscle-invasive bladder cancer.

Journal of translational medicine Jul 21, 2026

BACKGROUND: Muscle-invasive bladder cancer (MIBC) is an aggressive and heterogeneous malignancy with limited biomarkers to guide patient stratification and response to neoadjuvant chemotherapy (NAC). We sought to define the biological basis and clini... read more

DR.DEGMON: self-explainable deep neural network for drug-induced cell viability prediction incorporating differentially expressed genes and gene ontology.

BMC medical genomics Jul 21, 2026

BACKGROUND: Accurate prediction of cancer drug responses is essential for advancing cancer treatment strategies and drug development. With the increasing availability of large-scale pharmacogenomic datasets, many deep learning models have been propos... read more

ExposoGenomics: integrating genome and exposome as jointly dynamic systems for causal discovery and precision health.

Human genomics Jul 21, 2026

The past decade has witnessed an unprecedented convergence of exposomic technologies, population-scale genomics, and AI-enabled data science, creating the conditions for a new integrative discipline. Here we introduce ExposoGenomics, defined as the i... read more

Enhancing lymph node metastases assessment in breast cancer post-neoadjuvant therapy using artificial intelligence-driven diagnostics.

Breast cancer research : BCR Jul 21, 2026

BACKGROUND: Neoadjuvant therapy (NAT) is crucial for locally advanced breast cancer, but post-NAT lymph node assessment is challenging due to histological changes. Current methods like immunohistochemistry (IHC) are labor-intensive and imprecise in d... read more

Evaluating the reliability and information quality of ChatGPT responses on vaccine hesitancy: an expert panel study.

BMC public health Jul 21, 2026

BACKGROUND: Vaccine hesitancy is a major public health problem that threatens global immunisation programmes. The use of artificial intelligence-based chatbots to access health information is increasing. This study aimed to evaluate the responses of ... read more

Targeting progressive multiple sclerosis: Toward mechanism-informed precision medicine.

Journal of internal medicine Jul 21, 2026

Multiple sclerosis has undergone a therapeutic revolution over the past three decades. Randomized clinical trials and real-world data demonstrate that modern disease-modifying therapies substantially reduce relapse rates and acute inflammatory activi... read more

Comparative evaluation of the performance of different AI chatbots in answering pediatric dentistry questions in the Turkish dental specialization exam.

BMC oral health Jul 21, 2026

BACKGROUND: Artificial intelligence-powered chatbots, whose use is becoming increasingly widespread, are frequently used in medicine and dentistry for tasks such as generating academic texts, student education, clinical diagnosis, and patient informa... read more

Diagnostic reasoning with and without AI: automation bias in pre-clerkship medical students.

BMC medical education Jul 21, 2026

BACKGROUND: As large language models become increasingly integrated into clinical workflows, medical students need structured opportunities to learn how to engage critically with artificial intelligence (AI) during diagnostic reasoning. Empirical eva... read more

Self-calibrated B1 + and B0 Field Inhomogeneities Estimation (SAFE) in 3D Magnetic Resonance Fingerprinting.

Magnetic resonance in medicine Jul 21, 2026

PURPOSE: To develop SAFE, a self-calibrated framework to estimate B1 + and B0 field inhomogeneities directly from conventional magnetic resonance fingerprinting (MRF) acquisitions and improve its quantification accuracy. METHODS: SAFE utilized a two-... read more

Artificial Intelligence Medical Compendium