AI Medical Compendium

Association of urinary heavy metals with osteoporosis in US adults using interpretable machine learning.

Toxicology letters Feb 4, 2026

BACKGROUND: Exposure to heavy metals in the environment has always been the focus of public concern. More and more evidence suggests that heavy metal exposure may lead to bone degeneration and an increased risk of pathological fractures. In this stud... read more

Global Quantification of Black Carbon in Seasonal Snow: A Physically and Observationally Constrained Machine-Learning Framework.

Environmental science & technology Feb 4, 2026

Black carbon in seasonal snow (BCS) critically influences the Earth system by reducing surface albedo (snow darkening), perturbing radiative balance, and accelerating snowmelt. However, its climatic and hydrological impacts remain poorly quantified b... read more

Tailored psychotherapy and AI-enhanced contingency management for co-occurring disorders in cannabis use disorder: a systematic review.

Journal of addictive diseases Feb 4, 2026

BACKGROUND: Cannabis use disorder (CUD) commonly co-occurs with depression, post-traumatic stress disorder (PTSD), anxiety, and attention-deficit/hyperactivity disorder (ADHD), resulting in poorer outcomes and underscoring the need for tailored inter... read more

Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI.

Magnetic resonance in medicine Feb 4, 2026

PURPOSE: This study aims to develop and evaluate a fully automated deep learning-driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single effic... read more

Combined caLculation of Ultra-high field Biases (CLUB) With Sandwich: Fast, Simultaneous Estimation of 3D B0 and Multi-Channel B1 + Maps at 7 T.

Magnetic resonance in medicine Feb 4, 2026

PURPOSE: A method for simultaneous mapping of static (B0) and transmit (B1 +) field inhomogeneities at ultra-high field (UHF) was developed and validated. The utility of accelerating the proposed sequence using deep learning (DL) and joint low-rank t... read more

UniSyn: a multi-modal framework with knowledge transfer for anti-cancer drug synergy prediction.

Genome biology Feb 4, 2026

Drug combinations can improve cancer therapy by boosting efficacy, limiting dose-related toxicity, and delaying resistance. We present UniSyn, an interpretable multi-modal deep learning framework that transfers knowledge from monotherapy responses to... read more

Detecting disturbance and recovery in mining landscapes: A novel time-series framework based on improved LandTrendr and machine learning.

Environmental research Feb 4, 2026

Mining production has driven human development but has also led to sustained ecological damage. Vegetation serves as a critical carrier and indicator of ecosystem conditions in resource-extraction zones. Therefore, monitoring vegetation sustainabilit... read more

Prevalence of intestinal parasites in a tertiary care hospital and utility of AI-assisted fecal analyzer for their detection.

Experimental parasitology Feb 4, 2026

INTRODUCTION: Intestinal parasitic infections, caused by protozoa and helminths, can lead to malnutrition, anaemia, and impaired growth. While direct wet mount microscopy is the routine diagnostic method, it is limited by low sensitivity, labour inte... read more

A quasi-experimental study comparing a VR, computer-based, and face-to-face Alzheimer's embodiment education scenario, "Beatriz".

The Gerontologist Feb 4, 2026

BACKGROUND AND OBJECTIVES: Effective education on Alzheimer's disease (AD) requires methods fostering empathy, confidence, and knowledge. Artificial intelligence (AI)-enhanced virtual reality (VR) provides immersive experiences potentially superior t... read more

Adaptive Prompt Elicitation for Text-to-Image Generation

arXiv Feb 4, 2026

Aligning text-to-image generation with user intent remains challenging, for users who provide ambiguous inputs and struggle with model idiosyncrasies. We propose Adaptive Prompt Elicitation (APE), a technique that adaptively asks visual queries to he... read more

Human-Computer Interaction cs.AI cs.CV

Artificial Intelligence Medical Compendium