AI Medical Compendium

Large Language Models for Cholesteatoma Diagnosis: A Pathology-Validated Study.

The Journal of craniofacial surgery Jun 2, 2026

OBJECTIVES: To evaluate the diagnostic performance of the large language model (LLM) Gemini 2.5 for cholesteatoma detection using histopathology as the reference standard, and to compare its performance with that of routine radiologic assessment. A s... read more

Bioactive compounds for neuroinflammation and neuropathic pain management: molecular and cellular mechanisms.

Inflammopharmacology Jun 2, 2026

Bioactive compounds are a promising multi-target strategy for managing neuroinflammation and chronic pain. Bioactive compounds such as Paeonol, Kaempferol, and Acteoside demonstrate significant analgesic and anti-inflammatory effects by inhibiting pr... read more

Integrative Transcriptomic, Network, and Machine Learning Analyses Identify Genistein and Resveratrol-Associated Therapeutic Targets in Alzheimer's Disease.

Molecular neurobiology Jun 2, 2026

Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder characterized by complex molecular alterations across multiple brain regions. In this study, we applied an integrative systems-level framework combining multi-region transcriptom... read more

A machine learning‑enhanced serum metabolomics model for non‑invasive detection of gastric cancer.

Metabolomics : Official journal of the Metabolomic Society Jun 2, 2026

BACKGROUND: Gastric cancer (GC) is a leading cause of cancer-related deaths globally, with early detection crucial for improving survival. Current non-invasive biomarkers lack sensitivity in early stages, necessitating more accurate diagnostic tools.... read more

ABCA8 drives bone loss via disrupting Th17/Treg imbalance: a novel immunometabolic target for osteoporosis.

Inflammation research : official journal of the European Histamine Research Society ... [et al.] Jun 2, 2026

BACKGROUND: Osteoporosis is a metabolic bone disease characterized by reduced bone mass and microarchitectural deterioration, with complex involvement of molecular networks and immune-associated transcriptional dysregulation. OBJECTIVE: This study ai... read more

Symbolic Acceleration and Embodied Integration: Toward a Developmental Framework of Identity Reconstruction.

Integrative psychological & behavioral science Jun 2, 2026

Identity is a multi-level integrative process involving coordinated development across affective, symbolic, and embodied systems-a process of progressive self-organization that is biologically paced, relationally embedded, and irreducibly enacted thr... read more

Nanomedicine in precision treatment of gastric cancer: current clinical landscape.

Molecular biology reports Jun 2, 2026

Gastric cancer (GC) remains a leading cause of cancer-related mortality worldwide, with therapeutic efficacy often hindered by late-stage diagnosis, chemoresistance, and the immunosuppressive tumor immune microenvironment (TIME). This review systemat... read more

Multimodal AI for early prediction of adverse clinical outcomes in acute pancreatitis.

Abdominal radiology (New York) Jun 2, 2026

BACKGROUND: Conventional clinical scoring systems and contrast-enhanced computed tomography (CECT) interpretation provide limited accuracy in predicting adverse outcomes in early acute pancreatitis (AP). This leads to suboptimal patient management an... read more

Artificial intelligence-driven data expansion for the validation of spinopelvic parameter correlations in asymptomatic subjects.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Jun 2, 2026

BACKGROUND: The study of spinopelvic alignment in asymptomatic individuals is essential for understanding physiological sagittal balance and establishing reference values for spinal deformity assessment. However, the availability of large datasets of... read more

Integrating deep learning techniques for analysis of chin morphology among Han Chinese individuals using a large cone-beam computed tomography dataset.

Clinical oral investigations Jun 2, 2026

OBJECTIVES: To characterize chin morphology and investigate its associations with sex, as well as various sagittal and vertical skeletal patterns. MATERIALS AND METHODS: A total of 743 cone-beam computed tomography (CBCT) images (322 males, 421 femal... read more

Artificial Intelligence Medical Compendium