Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 3,131 to 3,140 of 168,416 articles

Automated ultrasound doppler angle estimation using deep learning

arXiv
Angle estimation is an important step in the Doppler ultrasound clinical workflow to measure blood velocity. It is widely recognized that incorrect angle estimation is a leading cause of error in Doppler-based blood velocity measurements. In this p... read more 

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

BMC health services research
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 

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

Translational psychiatry
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 

AI-assisted consent in paediatric medicine: ethical implications of using large language models to support decision-making.

Journal of medical ethics
Obtaining informed consent in paediatrics is an essential yet ethically complex aspect of clinical practice. Children have varying levels of autonomy and understanding based on their age and developmental maturity, with parents traditionally playing ... read more 

Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens

arXiv
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 

Identifying ferroptosis-related genes in lung adenocarcinoma using random walk with restart in the PPI network.

Scientific reports
Lung adenocarcinoma (LUAD), the most common non-small cell lung cancer subtype, often presents with subtle early symptoms leading to delayed diagnosis. Ferroptosis, a cell death process associated with iron metabolism dysregulation, has been linked t... read more 

Predicting soil organic carbon with ensemble learning techniques by using satellite images for precision farming.

Scientific reports
Soil plays a major role in the agricultural system. Soil composition detection can help farmers to take appropriate decision leading to proper crop growth. Soil organic carbon is crucial for many soil activities and ecological characteristics, is at ... read more 

A workflow for statistical analysis and visualization of microbiome omics data using the R microeco package.

Nature protocols
The increasing complexity of experimental designs and the volume of data in the microbiome field, along with the diversification of omics data types, pose substantial challenges to statistical analysis and visualization. Here we present a step-by-ste... read more 

Artificial intelligence and digital health in vascular surgery: a 2-decade bibliometric analysis of research landscapes and evolving frontiers.

Journal of robotic surgery
To analyze the structural and temporal evolution of artificial intelligence (AI) and digital health applications in vascular surgery over the past two decades, identifying historical development trajectories, research focal points, and emerging front... read more 

Invulnerability bias in perceptions of artificial intelligence's future impact on employment.

Scientific reports
The adoption of Artificial Intelligence (AI) is reshaping the labor market; however, individuals' perceptions of its impact remain inconsistent. This study investigates the presence of the Invulnerability Bias (IB), where workers perceive that AI wil... read more