AI Medical Compendium

Attitudes and readiness to adopt artificial intelligence among healthcare practitioners in Pakistan's resource-limited settings.

BMC health services research Aug 6, 2025

BACKGROUND: Artificial Intelligence (AI) can empower clinicians to make data-driven decisions, treatments and streamline administrative tasks. However, it is vital to understand their perception towards AI for seamless implementation in practice. The... read more

Humans Artificial Intelligence Female Adult Cross-Sectional Studies Male Middle Aged Surveys and Questionnaires Attitude of Health Personnel Pakistan Dentists Resource-Limited Settings

Single cell density prediction based on optically induced electrokinetics (OEK) and machine learning.

Analytical methods : advancing methods and applications Aug 6, 2025

Single cell density is a key indicator for judging cell physiological state, crucial for studying cell function. However, existing measurement methods are often complex and time-consuming, limiting their efficiency in practical applications. To addre... read more

Altered gray matter morphometry in psychogenic erectile dysfunction patients: A Surface-based morphometry study.

Scientific reports Aug 6, 2025

Psychogenic erectile dysfunction (pED) is a prevalent male sexual dysfunction lacking organic etiology. Endeavors have been made in previous studies to disclose the brain pathological mechanisms of pED. However, the cortical morphological characteris... read more

Humans Adult Male Middle Aged Case-Control Studies Magnetic Resonance Imaging Gray Matter Erectile Dysfunction

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

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

Graph representation learning via enhanced GNNs and transformers.

Scientific reports Aug 6, 2025

In recent years, graph transformers (GTs) have captured increasing attention within the graph domain. To address the prevalent deficiencies in local feature learning and edge information utilization inherent to GTs, we propose EHDGT, a novel graph re... read more

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

Breeding 5.0: Artificial intelligence (AI)-decoded germplasm for accelerated crop innovation.

Journal of integrative plant biology Aug 6, 2025

Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions. This ... read more

Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens

arXiv Aug 6, 2025

We propose a method to extend foundational monocular depth estimators (FMDEs), trained on perspective images, to fisheye images. Despite being trained on tens of millions of images, FMDEs are susceptible to the covariate shift introduced by changes... read more

Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning

Dynamic neural network modulation associated with rumination in major depressive disorder: a prospective observational comparative analysis of cognitive behavioral therapy and pharmacotherapy.

Translational psychiatry Aug 6, 2025

Cognitive behavioral therapy (CBT) and pharmacotherapy are primary treatments for major depressive disorder (MDD). However, their differential effects on the neural networks associated with rumination, or repetitive negative thinking, remain poorly u... read more

Humans Prospective Studies Brain Female Adult Male Middle Aged Depressive Disorder, Major Magnetic Resonance Imaging Antidepressive Agents Nerve Net Cognitive Behavioral Therapy Default Mode Network Rumination, Cognitive

Artificial Intelligence Medical Compendium