AI Medical Compendium

Application of artificial intelligence-generated clinical cases in case-based learning of histology and embryology.

Anatomical sciences education Jun 2, 2026

To investigate the effectiveness of a case-based learning (CBL) approach in histology and embryology, integrating instructor-reviewed, AI-assisted clinical cases within a Structure-Function-Clinical (SFC) framework. Undergraduate students from Hangzh... read more

Quantitative study on the discriminative value of fingerprint minutiae.

Journal of forensic sciences Jun 2, 2026

Traditional fingerprint identification primarily relies on the number of matching minutiae between the questioned and reference prints, where identity is determined by whether the match count exceeds a fixed threshold. However, this "minimum matching... read more

A forensic evaluation method of stable diffusion-generated images using feature-based likelihood ratio by deep learning features.

Journal of forensic sciences Jun 2, 2026

With the increasing realism of artificial intelligence (AI)-generated images from Stable Diffusion and similar models, forensic practitioners face significant challenges in image authenticity verification. This study proposes a feature-based likeliho... read more

Endothelial activation and stress index associated with in-hospital mortality risk in patients with end-stage renal disease: a retrospective analysis based on the MIMIC database and machine learning model development.

BMC nephrology Jun 2, 2026

BACKGROUND: End-stage renal disease (ESRD) is a severe chronic renal disorder with high mortality, requiring dialysis treatment or kidney transplantation. The endothelial activation and stress index (EASIX), reflecting inflammatory status and endothe... read more

Insights into middle-aged men (40-70) who died by suicide: a nationwide mixed methods study in the Netherlands.

BMC public health Jun 2, 2026

BACKGROUND: Globally, middle-aged men dominate suicide statistics in many regions. To understand their heightened vulnerability, we examine the interplay between sociodemographic factors, contextualized through psychosocial perspectives. METHODS: Dat... read more

Development and external validation of the HCH and HPMS prognostic indices for sepsis: a retrospective model development study using a Multi-Objective Non-Newtonian Fluid optimization algorithm.

BMC medical informatics and decision making Jun 2, 2026

BACKGROUND: The pathological heterogeneity of sepsis makes it challenging for traditional scoring systems to balance early-warning sensitivity, dynamic progression characterization, and mechanistic interpretability. Developing a multi-objective optim... read more

Prospective germline exome and machine learning-based risk score identify predictive and prognostic biomarkers of immunotherapy outcomes in advanced non-small cell lung cancer.

Journal of translational medicine Jun 2, 2026

BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape of advanced non-small cell lung cancer (NSCLC). However, a substantial proportion of patients do not experience durable clinical benefits, and established tumour... read more

Perceptions, challenges, and innovations in educational rehabilitation for students with intellectual disabilities in Saudi Arabia.

BMC medical education Jun 2, 2026

This study evaluated stakeholder perceptions, implementation barriers, and innovation readiness in educational rehabilitation programs for students with intellectual disabilities in Saudi Arabia. A quantitative cross-sectional design was employed usi... read more

Accuracy of machine learning in predicting recurrence risk of lumbar disc herniation after percutaneous endoscopic lumbar discectomy: a systematic review and meta-analysis.

Journal of orthopaedic surgery and research Jun 2, 2026

BACKGROUND: Lumbar disc herniation (LDH) is a major cause of low back pain and radicular leg pain. Percutaneous endoscopic lumbar discectomy (PELD) is a widely used minimally invasive procedure for the treatment of LDH; however, recurrent lumbar disc... read more

Training effect of a deep learning-based blended teaching model on ECMO transport for ICU nurses: a prospective, parallel-group, randomized controlled trial.

BMC nursing Jun 2, 2026

OBJECTIVE: Given the high alignment between deep learning and blended teaching objectives, blended teaching provides a feasible pathway for achieving deep learning. This study aimed to verify the efficacy of a deep learning-based blended teaching mod... read more

Artificial Intelligence Medical Compendium