AI Medical Compendium

Deep Learning-Based Acoustic Screening for Penetration-Aspiration Events Using Short Voice Recordings.

Dysphagia Jun 2, 2026

To evaluate the feasibility of a smartphone-based deep learning artificial intelligence (AI) tool for detecting post-swallow airway compromise through brief acoustic analysis of voice recordings obtained before and after swallowing. This multicenter ... read more

Associations of serum per- and polyfluoroalkyl substances (PFAS) mixture with the risk of chronic diseases: evidence from single‑ , multi-pollutant, and machine learning models.

Archives of toxicology Jun 2, 2026

Per- and polyfluoroalkyl substances (PFAS) are persistent chemicals commonly found in consumer products. Despite growing concern over their health effects, their associations with chronic diseases in humans are still unclear. We included 10,093 parti... read more

PPAOT predictor: ARKA-RASTR strategy-driven rodent acute oral toxicity prediction for pyrazole and pyrrolidine scaffolds-based chemicals with intelligent mechanistic interpretation.

Archives of toxicology Jun 2, 2026

Pyrazole and pyrrolidine represent two classes of high-frequency nitrogen-containing "privileged scaffolds" in drug discovery and industrial chemicals; however, their potential acute toxicity poses significant challenges to clinical translation and i... 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-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

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

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

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

Leveraging large language models in patient-reported outcome measure development: practical opportunities, cautions, and a human-in-the-loop roadmap.

Journal of patient-reported outcomes Jun 2, 2026

BACKGROUND: Patient-reported outcome (PRO) measure development involves multiple language-intensive stages, including conceptual domain definition, candidate item generation, qualitative refinement, and cognitive interviewing prior to psychometric ev... 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

Artificial Intelligence Medical Compendium