AI Medical Compendium

Dynamic EEG spectral changes during acute alcohol intoxication and propofol exposure: Implications for machine-learning-based alcoholism detection.

Computers in biology and medicine Apr 3, 2026

Generation of virtual abdominal aortic aneurysm shape evolution using a physics-based G&R model and its applications to aneurysm growth prediction.

Computers in biology and medicine Apr 3, 2026

The computational growth and remodeling (G&R) of aortic aneurysms has been extensively investigated to better understand vascular disease progression and improve surgical intervention strategies. This study introduces a framework to simulate abdomina... read more

Adapalene in Acne Treatment: Innovations in Nanocarriers and Role of AI in Drug Delivery- A Comprehensive Review.

Current drug delivery Apr 3, 2026

INTRODUCTION: Acne vulgaris is a prevalent dermatological disorder that affects millions worldwide, causing both physical discomfort and psychological burden. Conventional therapies often provide limited benefit due to poor skin permeability and tole... read more

The relationship between artificial intelligence literacy and artificial intelligence anxiety: A cross-sectional study among pediatric nurses.

Journal of pediatric nursing Apr 3, 2026

AIM: This study aimed to investigate the relationship between pediatric nurses' levels of artificial intelligence literacy and artificial intelligence anxiety. METHODS: The study population consisted of 246 nurses working at children hospital within ... read more

Physiology-informed machine learning for patient-level surgical decision-making in severe traumatic brain injury: Multicenter model development with external validation.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Apr 3, 2026

BACKGROUND: Surgical decisions for severe traumatic brain injury (TBI) are often made under prognostic uncertainty. Existing prognostic models predict overall outcomes but do not estimate how an individual's outcome might change with the decision to ... read more

Prediction of Early-onset Preeclampsia Using Deep Learning: A Scoping Review of Clinical and Imaging Models.

Pregnancy hypertension Apr 3, 2026

This scoping review aimed to map the available evidence on deep learning (DL) models for predicting early-onset preeclampsia (EOPE), focusing on both clinical and imaging-based approaches. A comprehensive search of five databases identified 15 eligib... read more

Lung cancer segmentation Using the Att-U-Net Model on PET-CT Images.

Radiography (London, England : 1995) Apr 3, 2026

INTRODUCTION: Lung cancer is the leading cause of cancer-related deaths worldwide, emphasizing the need for early and accurate diagnosis. Precise segmentation of lung regions and tumors in imaging is critical for effective diagnosis and treatment. Th... read more

Next-generation proteomics in medical laboratories: metrologically sound quantitative protein tests vs. innovative and personalized proteome patterns.

Clinical chemistry and laboratory medicine Apr 3, 2026

In precision medicine protein phenotypes are foreseen that combined with pattern recognition tools exhibit great potential in guaranteeing safe and accurate test results for patient management and intervention. For discovery purposes novel high-throu... read more

Machine learning based prediction of platelet concentration from ROTEM measurements.

Scientific reports Apr 3, 2026

Machine learning-based prediction model for risk factors associated with conversion to open surgery in pediatric laparoscopic radical resection of choledochal cysts.

Pediatric surgery international Apr 3, 2026

Artificial Intelligence Medical Compendium