AI Medical Compendium

PEYOLO a perception efficient network for multiscale surface defects detection.

Scientific reports Aug 6, 2025

Steel defect detection is a crucial aspect of steel production and quality control. Therefore, focusing on small-scale defects in complex production environments remains a critical challenge. To address this issue, we propose an innovative perception... read more

Modeling highway-rail grade crossing (HRGC) crash severity using statistical and machine learning methods.

International journal of injury control and safety promotion Aug 6, 2025

A principal safety issue at highway-rail grade crossings (HRGCs) is the severity of crashes. Although many studies have analyzed crash severity at HRGCs, they often rely on national datasets or a narrow set of variables, frequently overlooking region... read more

Neural Synchrony and Consumer Behavior: Predicting Friends' Behavior in Real-World Social Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience Aug 6, 2025

The endogenous aspect of social influence, reflected in the spontaneous alignment of behaviors within close social relationships, plays a crucial role in understanding human social behavior. In two studies involving 222 human subjects (Study 1: = 17... read more

Humans Brain Female Young Adult Adult Male Adolescent Longitudinal Studies Magnetic Resonance Imaging Brain Mapping Consumer Behavior Social Behavior Friends Social Networking

Socioeconomic impact of artificial intelligence-driven point-of-care testing devices for liquid biopsy in the OncoCheck system.

Cancer metastasis reviews Aug 6, 2025

Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic inequalities and limited access to screening infrastructure, which requires equitable diagnostic solutions. As researchers, we need to develop interventio... read more

Humans Artificial Intelligence Neoplasms Socioeconomic Factors Early Detection of Cancer Point-of-Care Testing Liquid Biopsy

Determination of high-confidence germline genetic variants in next-generation sequencing through machine learning models: an approach to reduce the burden of orthogonal confirmation.

BMC genomics Aug 6, 2025

Can the mind perception of perceived artificial intelligence-generated content alleviate involution anxiety? A longitudinal study with social support as a mediator.

Psychology, health & medicine Aug 6, 2025

Involution anxiety, characterized by heightened stress and competition in educational and professional settings, is a significant psychological trait in contemporary society. However, under the backdrop of Artificial Intelligence-Generated Content (A... read more

Renji endoscopic submucosal dissection video data set for colorectal neoplastic lesions.

Scientific data Aug 6, 2025

Artificial intelligence advancements have significantly enhanced computer-aided intervention, learning among surgeons, and analysis of surgical videos post-operation, substantially elevating surgical expertise and patient outcomes. Recognition system... read more

Humans Colorectal Neoplasms Video Recording Endoscopic Mucosal Resection

Complex-Valued Chemometrics in Spectroscopy: Inverse Least Squares Regression.

Applied spectroscopy Aug 6, 2025

Inverse least squares (ILS) regression is an advancement of classical least squares (CLS) regression, enabling the calculation of concentrations without requiring prior knowledge of the number of components in a mixture. Complex-valued ILS further en... read more

An improved domain-adversarial network for predicting hemodialysis adequacy.

Biomedical physics & engineering express Aug 6, 2025

Hemodialysis (HD) is the primary life-sustaining treatment for patients with end-stage renal disease (ESRD). However, current real-time monitoring methods during dialysis are costly, complex, and not widely adopted. Therefore, this study aims to prop... read more

Humans Neural Networks, Computer Algorithms Female Male Deep Learning Renal Dialysis Kidney Failure, Chronic

Current applications of deep learning in vertebral fracture diagnosis.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Aug 6, 2025

Deep learning is a machine learning method that mimics neural networks to build decision-making models. Recent advances in computing power and algorithms have enhanced deep learning's potential for vertebral fracture diagnosis in medical imaging. The... read more

Artificial Intelligence Medical Compendium