AI Medical Compendium

A machine learning model for predicting 28-day mortality in patients with alcoholic cirrhosis and sepsis: a study based on the MIMIC-IV database.

Scandinavian journal of gastroenterology Feb 6, 2026

OBJECTIVE: To develop and validate the best machine learning model for predicting 28-day mortality in septic patients with alcoholic cirrhosis (AC), leveraging data from the Medical Information Mart for Intensive Care Database, 4th Edition (MIMIC-IV)... read more

Mamba-based Deep Learning Approach for Sleep Staging on a Wireless Multimodal Wearable System Without Electroencephalography.

Sleep Feb 6, 2026

STUDY OBJECTIVES: We investigate a Mamba-based deep learning approach for sleep staging on signals from ANNE One (Sibel Health, Chicago, IL), a non-intrusive dual-module wireless wearable system measuring chest electrocardiography (ECG), triaxial acc... read more

Machine Learning-Based Pathomics Signature in Predicting MSH2 Expression and Prognosis in Gastric Cancer.

Clinical and translational gastroenterology Feb 6, 2026

BACKGROUND: Gastric cancer (GC) is one of the most prevalent and lethal gastrointestinal malignancies. MutS homolog 2 (MSH2), a DNA mismatch repair protein, has emerged as a promising prognostic biomarker. However, traditional histopathological evalu... read more

How to predict abnormal acid reflux: recent developments.

Expert review of gastroenterology & hepatology Feb 6, 2026

INTRODUCTION: Recent advances in physiology and technology have led to the identification of additional parameters that have the potential to enhance diagnostic accuracy and inform the management of Gastroesophageal reflux disease (GERD). Whilst trad... read more

Real-Time Named Entity Recognition from Textual Electronic Clinical Records in Cancer Therapy Using Low-Latency Neural Networks.

Big data Feb 6, 2026

Named entity recognition (NER) is a core task in natural language processing that identifies and classifies entities, such as people, organizations, and locations within text. It has traditionally been applied in areas like text summarization, machin... read more

Machine learning molecular dynamics simulations of coordination and diffusion behaviors in lithiated gallium electrodes.

Physical chemistry chemical physics : PCCP Feb 6, 2026

Liquid gallium (Ga) has emerged as a promising anode material for flexible lithium-ion batteries owing to its exceptional fluidity, intrinsic self-healing capability, and high theoretical capacity. However, the understanding of structure and transpor... read more

Auditory and Vestibular Recovery in Otosclerosis Surgery: Clinical Efficacy and Predictive Modeling of Intraoperative Corticosteroid Use.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Feb 6, 2026

OBJECTIVE: To evaluate the effect of intraoperative local corticosteroid application on hearing, tinnitus, and dizziness outcomes after stapes surgery for otosclerosis, and to assess predictive modeling for treatment response. STUDY DESIGN: Retrospec... read more

Machine learning model identifies tibial anatomical variables as potential risk factors for anterior cruciate ligament injury.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Feb 6, 2026

PURPOSE: The tibial slope is a well-known risk factor for anterior cruciate ligament (ACL) injury. As machine learning continues to progress, it has become an increasingly explored tool for clinical screening and risk factor analysis. This study aims... read more

From black box to clear box: explainable AI for next-gen pharmacovigilance.

Expert opinion on drug safety Feb 6, 2026

INTRODUCTION: Pharmacovigilance (PV) plays a vital role in post-marketing surveillance of drug safety; however, traditional methods are hindered by underreporting, data heterogeneity, and delayed signal detection. Artificial Intelligence (AI) has bee... read more

Shaping a dynamic open platform for the holistic assessment of micro- and nano-plastic emissions from plastic products.

Environmental science. Processes & impacts Feb 6, 2026

The widespread use of plastics and their improper disposal have released a large number of micro- and nano-plastics (MNPs) into various environmental media. Although the release of MNPs from individual plastic products has been widely reported, there... read more

Artificial Intelligence Medical Compendium