AI Medical Compendium

Integrating spatial and single-cell transcriptomics via machine learning to characterize efferocytosis in hepatocellular carcinoma prognosis and immunotherapy.

Translational oncology May 15, 2026

BACKGROUND: The intratumoral heterogeneity and immunosuppressive microenvironment of hepatocellular carcinoma (HCC) significantly limit therapeutic efficacy. Although efferocytosis is fundamental for tissue homeostasis, its impact on the spatial arch... read more

Exposure to ambient PM2.5 constituents and semen quality in a retrospective cohort study: Windows of susceptibility and modification by greenness.

International journal of hygiene and environmental health May 15, 2026

BACKGROUND: Access to abundant greenness and avoiding exposure to ambient fine particulate matter (PM2.5) are known to be associated with favorable health outcomes. However, evidence remains limited regarding the windows of susceptibility to exposure... read more

Toward protocol simplification: Deep learning-based image synthesis in three-phase CT urography.

Computers in biology and medicine May 15, 2026

OBJECTIVE: The purpose of this study was to develop and evaluate a method for synthesizing 3D urothelial phase images in CTU examinations from the dual inputs of non-contrast and excretory phase images using a diffusion model integrated with a Swin t... read more

Divergent fates: Polystyrene microplastics alter trifloxystrobin degradation and microbial ecology differently in agricultural soil vs. river sediment.

Ecotoxicology and environmental safety May 15, 2026

This study investigates the effects of polystyrene microplastics (PS-MPs) on trifloxystrobin (TRI) degradation behavior and microbial community structure in agricultural soil and river sediment. Degradation kinetics and machine learning modeling (R2 ... read more

CogniSNN: Enabling neuron-expandability, pathway-reusability, and dynamic-configurability in spiking neural networks.

Neural networks : the official journal of the International Neural Network Society May 15, 2026

Spiking neural networks (SNNs) hold promise for bridging artificial intelligence and computational neuroscience. However, mainstream SNNs predominantly adopt the rigid, chain-like architectures of artificial neural networks (ANNs), ignoring key struc... read more

Development and Validation of FlapCheck.ai, a Fully Automated Artificial Intelligence Model for Postoperative Flap Viability Assessment.

Journal of reconstructive microsurgery May 15, 2026

BACKGROUND: Postoperative flap monitoring is critical for early detection and salvage of compromised flaps. As shorter hospital stays and outpatient procedures become common, accurate and user-friendly tools for remote flap viability assessment are n... read more

Signal-Based Assessment of Postural Stability Using ECG, EMG, and Center of Pressure Measures.

Physiological measurement May 15, 2026

Postural stability reflects the integrated function of autonomic, neuromuscular, and postural control systems and deteriorates with aging and reduced physical activity. Although electrocardiography(ECG), electromyography(EMG), and center of pressure(... read more

Image-derived input functions for [18F]LW223 and [18F]SynVesT-1 PET in the rodent determined using an autoencoder (IDIF-AE).

Physics in medicine and biology May 15, 2026

Objective.Quantitative analysis of dynamic positron emission tomography (PET) scans requires knowledge of the arterial input function (AIF). Existing means of extracting the AIF are invasive and costly (blood sampling), or come with significant error... read more

Influence of scintillation light confinement on depth-of-interaction measurement performance in a single-Ended readout PET detector.

Physics in medicine and biology May 15, 2026

Continuous depth-of-interaction (cDOI) detectors enable single-ended readout in positron emission tomography (PET) by encoding the interaction depth into the scintillation light distribution. This study presents a comprehensive performance optimizati... read more

A Multiassessment and Multiprofessional Agents Approach for Medical Chatbot Risk Estimation: Development and Evaluation Study.

JMIR medical informatics May 15, 2026

BACKGROUND: Assessing chatbot responses across 3 domains-medical, ethical, and legal-is essential to ensuring the safe use of artificial intelligence in health care. Although advancements in the use of large language models (LLMs) show significant im... read more

Artificial Intelligence Medical Compendium