AI Medical Compendium

Explainable Electronic Medical Record-Based Machine Learning to Predict 1-Year Incident Protein-Energy Wasting in Non-Dialysis Chronic Kidney Disease: A Single-Center Development Study.

Clinical nutrition ESPEN May 25, 2026

BACKGROUND: Protein-energy wasting (PEW) is common in chronic kidney disease (CKD) and is linked to poor outcomes. Early risk stratification may enable timely nutritional intervention. OBJECTIVE: To develop an electronic medical record (EMR)-based ma... read more

Multimodal digital phenotyping of bipolar disorder subtypes: Differences between bipolar disorder I and II based on passive and active behavioral features from smartphones.

Journal of affective disorders May 25, 2026

BACKGROUND: Distinguishing between bipolar disorder type I and II constitutes a significant clinical challenge that relies on retrospective patient recall. Misclassification carries risks of inappropriate pharmacological management. Digital phenotypi... read more

Classification of familial and non-familial ADHD using auto-encoding network and binary hypothesis testing.

Brain research bulletin May 25, 2026

Family heritage is one of the most powerful risk factors for attention-deficit/hyperactivity disorder (ADHD). Children with familial ADHD (ADHD-F) and non-familial ADHD (ADHD-NF) have both shared and distinct behavioral characteristics and clinical o... read more

Targeting Tau-Mitochondrial Crosstalk in Alzheimer's Disease: Integrative Multi-Omics and Artificial Intelligence-Driven Tools for the Development of Disease-Modifying Therapeutics.

Ageing research reviews May 25, 2026

Alzheimer's disease (AD) is a progressive neurodegenerative illness marked by cognitive impairment, synaptic dysfunction and neuronal death. Tau protein abnormalities and mitochondrial dysfunction are key features of its pathogenesis, and both are in... read more

Simulated wildfire smoke particulate matter elicits STING-dependent astrocyte-mediated inflammatory signaling and neurotoxicity.

Neurotoxicology May 25, 2026

Changing global wildfire landscapes necessitate exploration of the effects of exposure to wildfire smoke on health and disease. Exposure to this toxicant is not only associated with acute cardiopulmonary dysfunction, but is increasingly recognized as... read more

Echocardiography-Based Machine Learning Model for Atrial Fibrillation Risk Assessment in Hypertension.

Heart rhythm May 25, 2026

BACKGROUND: Early identification of atrial fibrillation (AF) allows for timely interventions to reduce cardiovascular complications. Risk scores including C2HEST and CHA2DS2-VASc have limitations in capturing cardiovascular remodeling. Given the asso... read more

Methods for determining indications for antibiotic prescriptions to facilitate antimicrobial stewardship: a scoping review.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases May 25, 2026

BACKGROUND: Effective antimicrobial stewardship (AMS) requires accurate information on the reason for prescribing antimicrobials. To design targeted interventions aimed at improving guideline adherence, accurate information on the indication for each... read more

[From PubMed to GPT: a narrative review of the emerging role of Large Language Models in systematic reviews].

Gynecologie, obstetrique, fertilite & senologie May 25, 2026

OBJECTIVE: Systematic reviews are a cornerstone of evidence-based medicine but remain time-consuming and prone to human error. Large Language Models (LLMs), such as ChatGPT or Claude, offer new opportunities for partial automation of these tasks. Thi... read more

Insights into distinct biocarbon assembly and graphitization derived from large-scale bioresource by integrating machine learning with Raman and XRD spectroscopic profiling.

Bioresource technology May 25, 2026

Understanding and predicting the elemental composition and assembly of diverse biocarbon materials are critical for quickly tailoring their physicochemical properties and functional applications. However, it remains challenging to sort out the comple... read more

The Jevons trap: when artificial intelligence in healthcare creates endless work.

The American journal of medicine May 25, 2026

Artificial Intelligence Medical Compendium