AI Medical Compendium

Clinically interpretable machine-learning model for predicting heart mean dose using simple BEV-based metrics.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Feb 21, 2026

Radiation-induced cardiac toxicity remains a major concern in left-sided breast cancer radiotherapy, with mean heart dose (MHD) serving as a key predictor of long-term cardiac morbidity. This study aimed to develop a clinically interpretable machine-... read more

Achieving Optimal Accuracy and Robustness Through Tight Excitatory-Inhibitory Balance in Shallow Spiking Recurrent Neural Network.

International journal of neural systems Feb 21, 2026

Traditional deep neural networks exhibit high computational complexity during training and lack biological interpretability due to their reliance on backpropagation-based methods. Spiking Recurrent Neural Network (SRNN) performs well in processing sp... read more

MAPping dynamic heterogeneity in supercooled glass-formers.

The Journal of chemical physics Feb 21, 2026

A central question in glass physics is whether dynamic heterogeneity of supercooled liquids can be inferred from static structure. Successful models based on supervised and unsupervised machine-learning predict mobility from particle positions but ei... read more

Mechanisms of free O-H relaxation at the air-water interface revealed by machine learning-accelerated molecular dynamics simulation.

The Journal of chemical physics Feb 21, 2026

Vibrational sum-frequency generation (VSFG) spectroscopy has been widely used to investigate the unique vibrational relaxation dynamics of free O-H groups at the air-water interface. However, there has been ongoing debate regarding the primary relaxa... read more

Unraveling the role of polyamine metabolism in postoperative delirium: insights into biochemical mechanisms and biomarker potential.

npj aging Feb 21, 2026

Postoperative delirium (POD) is a common complication in older surgical patients, linked to long-term cognitive decline and progression to dementia, yet its mechanisms remain unclear. We investigated arginine-related metabolites (ARMs) in cerebrospin... read more

A real-time detection framework for road cracks in noisy and morphologically complex environments.

Scientific reports Feb 21, 2026

An automated road defect detection system is a key part of intelligent traffic infrastructure maintenance. Existing object detection models have slow inference speed and low detection accuracy. This problem is more serious under shadows, oil stains, ... read more

Large language model use in oral and maxillofacial surgery training: a national resident survey.

Oral and maxillofacial surgery Feb 21, 2026

AnesNet: a versatile deep convolutional framework for predicting depth of anesthesia using BIS and multimodal intraoperative signals.

BMC anesthesiology Feb 21, 2026

Harnessing machine learning and multivariate analysis to explore global trends in Cannabis sativa research.

Journal of cannabis research Feb 21, 2026

This study employs advanced data science techniques to explore global research trends in Cannabis sativa from 1974 to 2024. This research integrated bibliographic datasets from PubMed, Scopus, and Web of Science. By combining latent Dirichlet allocat... read more

Machine learning-assisted abstract screening on learning analytics: a step-by-step tutorial.

Systematic reviews Feb 21, 2026

Systematic reviews are crucial for synthesizing evidence, but their manual processes, particularly abstract screening, are labor-intensive and prone to error. Advances in machine learning (ML) offer solutions to enhance efficiency and accuracy. Using... read more

Artificial Intelligence Medical Compendium