AI Medical Compendium

The Use of Statistical Shape and Appearance Modelling for Predicting Osteoporotic Fracture Risk.

Current osteoporosis reports May 2, 2026

PURPOSE OF REVIEW: Osteoporotic fractures remain a major cause of morbidity and mortality worldwide. Current clinical assessment metrics (e.g., bone mineral density) are limited in their ability to identify fracture risk and bone strength. Statistica... read more

GPT-5-assisted versus expert surgeon refractive planning in smooth incision lenticule keratomileusis (SILK): comparative analysis and visual outcomes.

International ophthalmology May 2, 2026

PURPOSE: To assess the performance of GPT-5 in refractive surgery planning by comparing its recommendations with expert surgeons and reporting visual outcomes of surgeon-planned Smooth Incision Lenticule Keratomileusis (SILK) procedures. METHODS: Thi... read more

Identification of Mitochondrial Dysfunction Genes as Diagnostic Biomarkers for Ischemic Stroke by Integrated Bioinformatics Analysis and Machine Learning.

Journal of molecular neuroscience : MN May 2, 2026

Current diagnostics for ischemic stroke (IS) lack timeliness and accessibility, highlighting the need for novel molecular diagnostic models. Three gene expression datasets (GSE16561, GSE22255 and GSE58294), encompassing both IS patients and healthy c... read more

Transformative Applications and Innovations in Next-Generation Sequencing Data Analysis.

Journal of applied genetics May 2, 2026

Next-generation sequencing (NGS) has revolutionized the field of genomics by providing rapid, high-throughput, and cost-effective platforms for analyzing genomes, transcriptomes, and epigenomes. Its application spans cancer genomics, infectious disea... read more

Speaking to no one: ontological dissonance and the double bind of conversational AI.

Medicine, health care, and philosophy May 2, 2026

Recent reports indicate that sustained interaction with conversational artificial intelligence (AI) systems can, in a small subset of users, contribute to the emergence or stabilisation of delusional experience. Existing accounts typically attribute ... read more

Engineering biomarker representations of vital signs data enhances deep learning mortality prediction.

Journal of the American Medical Informatics Association : JAMIA May 2, 2026

OBJECTIVES: We evaluated bidirectional long short-term memory models for predicting inpatient mortality using different approaches to processing vital signs data collected during the initial 24 h of intensive care unit (ICU) admissions. MATERIALS AND... read more

Fusion attention-based nasopharyngeal carcinoma segmentation model in predicting the clinical outcome of cervical lymph node residue after IMRT.

BMC medical imaging May 2, 2026

BACKGROUND: Deep learning methods have made great progress in the automatic segmentation of nasopharyngeal carcinoma, but challenges remain. PURPOSE: Computer-aided automatic segmentation of nasopharyngeal cancer primary area is of great significance... read more

A multicenter-validated interpretable transformer model for pituitary microadenoma detection on non-contrast multiparametric MRI.

BMC medical imaging May 2, 2026

BACKGROUND: Detecting pituitary microadenomas using non-contrast multi-parametric magnetic resonance imaging (MRI) is challenging yet essential for clinical decisions. This study aimed to develop a transformer deep learning (DL) model for detecting p... read more

Extending Tanner's framework: the digital clinical judgment model for nursing education.

BMC nursing May 2, 2026

BACKGROUND: Clinical judgment is a core competency across healthcare professions and is commonly conceptualized through Tanner's model, which incorporates four phases of clinical judgment: noticing, interpreting, responding and reflecting. While Tann... read more

Optimized explainable AI and digital twin for patient flow improvement in ICU during respiratory epidemics.

BMC medical informatics and decision making May 2, 2026

BACKGROUND: Respiratory epidemics often place substantial pressure on intensive care units (ICU), which are continuously challenged to managing acute and life-threatening conditions under unpredictable workloads. During these periods, ICUs usually ex... read more

Artificial Intelligence Medical Compendium