AI Medical Compendium

Advances in photoacoustic imaging reconstruction and quantitative analysis for biomedical applications.

Visual computing for industry, biomedicine, and art Feb 1, 2026

Photoacoustic imaging (PAI), a modality that combines the high contrast of optical imaging with the deep penetration of ultrasound, is rapidly transitioning from preclinical research to clinical practice. However, its widespread clinical adoption fac... read more

Radiation-free Cobb angle estimation in adolescent scoliosis using surface topography and a linear regression model.

Spine deformity Feb 1, 2026

Scoliosis, the most common spinal deformity in adolescents, requires frequent radiographic follow-up, exposing patients to cumulative ionizing radiation with potential long-term risks. In response, recent efforts have explored radiation-free alternat... read more

Deep-Learning-Based Broadband Lightsource X-ray Absorption Spectroscopy Using Photon-Counting Detector.

Analytical chemistry Feb 1, 2026

Photon-counting detectors enable high-resolution, multienergy X-ray spectroscopy but suffer from substantial spectral distortions under high photon flux due to pile-up and polarization effects. We propose Spectral-Transformer, a deep learning framewo... read more

A comprehensive analysis reveals the molecular mechanisms linking preservatives to prostate cancer risk.

Discover oncology Feb 1, 2026

BACKGROUND: Preservatives, widely used in food and skincare products, may influence prostate cancer (PCa) development. This study explores the effects of common preservatives, especially parabens, on PCa and their potential molecular associations via... read more

Identifying a conserved transcriptional signature of drought and salt stress in Arabidopsis thaliana through meta-analysis, consensus network analysis, and deep learning.

Genetica Feb 1, 2026

Understanding plant responses to abiotic stress is critical for improving stress resilience. Here, we performed an integrative analysis that uniquely converges three synergistic approaches: meta-analysis, consensus network analysis, and deep learning... read more

ME-PFP: An Ensemble Learning Approach Fusing Multi-Source Features for Protein Function Prediction.

Journal of chemical information and modeling Feb 1, 2026

Proteins, as essential components of living organisms, play a critical role in both drug discovery and disease mechanism research. Multiple empirical studies have shown that there is a significant correlation between protein function and drug targets... read more

Automatic lymphedema segmentation in T2-STIR MRI using an unsupervised clustering method.

La Radiologia medica Feb 1, 2026

PURPOSE: To develop and evaluate an unsupervised artificial intelligence (AI)-based method for the automated segmentation and quantitative assessment of fluid content on T2 short tau inversion recovery (STIR) magnetic resonance lymphography (MRL) in ... read more

Artificial Intelligence Based Tools for Automated Genus-Level Identification of Plant-Parasitic Nematodes.

Phytopathology Feb 1, 2026

Early and accurate identification and quantification of plant-parasitic nematodes (PPN) is crucial for their effective control. Although valuable, the current techniques for identifying PPN, such as morphology and molecular marker-based methods, can ... read more

Empowering Caregivers With Smart Care Artificial Intelligence.

The journal of nursing research : JNR Feb 1, 2026

Training with Artificial Intelligence: Are There Hidden Costs in Clinical Reasoning and Medical Education?

Southern medical journal Feb 1, 2026

Artificial Intelligence Medical Compendium