AI Medical Compendium

A Doubly Robust Machine Learning Procedure to Estimate Disparities by Race/Ethnicity and Sex in the Relationship Between Adverse Childhood Experiences and Suicidality.

Journal of the American Academy of Child and Adolescent Psychiatry May 18, 2026

OBJECTIVE: Suicide is a leading cause of death among youth, and adverse childhood experiences (ACEs) are established risk factors for suicidality. This study is the first to investigate disparities in the cumulative impact of ACEs on suicidal ideatio... read more

Reply to Akhter et al., "Evolving performance of GPT models in dermoscopic diagnosis: Comment on 'Comparative assessment of GPT-4 Vision in dermoscopic image analysis'".

Journal of the American Academy of Dermatology May 18, 2026

Comment on "Interpretable Machine Learning Model for Predicting Refeeding Syndrome After Colorectal Cancer Surgery".

Clinical nutrition ESPEN May 18, 2026

Multimodal Artificial Intelligence for Early Detection and Precision Management of Inflammatory and Infiltrative Cardiomyopathies.

Current problems in cardiology May 18, 2026

BACKGROUND: Inflammatory and infiltrative cardiomyopathies, including cardiac sarcoidosis, transthyretin amyloidosis, and autoimmune myocarditis, are frequently underrecognized until advanced myocardial dysfunction develops. Conventional diagnosis of... read more

The state of motor neural networks in low back pain a systematic review and meta-analysis.

The journal of pain May 18, 2026

Low back pain (LBP) is one of the most prevalent musculoskeletal disorders and often shows poor recovery. Although symptom persistence is multifactorial, trunk motor control changes are frequently observed and suggested to result from reorganisation ... read more

Resolving multiscale challenges in neuroscience: A frequency-aware network and benchmarks for live-cell and nuclear foci segmentation.

Journal of neuroscience methods May 18, 2026

BACKGROUND: Neuroscience image analysis is crucial for understanding neuronal dynamics and gene expression. However, two key tasks remain challenging: (1) segmenting live neuronal cells in low-contrast DIC images for dynamic tracking, and (2) detecti... read more

Next-Generation Phytoremediation Approaches for Environmental Sustainability.

New biotechnology May 18, 2026

Environmental contamination by heavy metals, organic pollutants, and industrial waste poses a pressing global challenge that demands advanced, sustainable remediation technologies. Conventional remediation approaches, including soil excavation and ch... read more

Machine-learning algorithms to identify key practices contributing to variation in biosecurity levels on Japanese commercial swine farms.

The Journal of veterinary medical science May 18, 2026

Transboundary diseases, such as African swine fever, pose significant threats to the Japanese swine industry, making robust biosecurity essential. However, established assessment tools quantify overall biosecurity levels, and the specific practices d... read more

Interpretable machine learning and signal processing for automated reading and quality control of lateral flow tests for schistosomiasis.

Nature communications May 18, 2026

There is a lack of automated pipelines for diagnostic classification of point-of-care tests for neglected tropical diseases. Here, we present an end-to-end automated pipeline for the analysis of point-of-care circulating cathodic antigen tests for sc... read more

Construction of a multi-dimensional predictive model for college students' academic performance based on deep learning.

Scientific reports May 18, 2026

Academic performance (AP) prediction is crucial for recognizing at-risk students and enhancing learning outcomes. Traditional statistical models often fail to capture temporal and behavioral patterns. Deep learning (DL) approaches offer improved accu... read more

Artificial Intelligence Medical Compendium