Latest AI and machine learning research in risk management for healthcare professionals.
Large language models (LLMs) may facilitate and expedite systematic reviews, although the approach t...
PURPOSE: The thyroid imaging reporting and data system (TIRADS) was developed as a standard global t...
Considering the characteristics and operating environment of remotely controlled miniature soft robo...
The Shapley value formalism from cooperative game theory was adapted to explain predictions of machi...
Early identification of cognitive or physical overload is critical in fields where human decision ma...
INTRODUCTION: For several years, studies have been conducted on the contribution of social robots as...
Acoustical knee health assessment has long promised an alternative to clinically available medical i...
The material acceleration platform, empowered by robotics and artificial intelligence, is a transfor...
Multi-modality image registration is an important task in medical imaging because it allows for info...
OBJECTIVE: To estimate proton density fat fraction (PDFF) from chemical shift encoded (CSE) MR image...
BACKGROUND: Healthcare simulation is critical for medical education, with traditional methods using ...
Emerging and evolving Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) lineages, adapted...
Given the resource limitations of wireless sensor networks (WSNs), energy conservation is of utmost ...
Deep learning solutions have rapidly emerged for EEG decoding, achieving state-of-the-art performanc...
BACKGROUND: Digital microscopy combined with artificial intelligence (AI) is increasingly being impl...
Informed consent is a cornerstone of ethical medical practice, particularly in obstetrics where proc...
Over the past 5Â decades, artificial intelligence (AI) has evolved rapidly. Moving from basic models ...
BACKGROUND: Manual screening of a Kato-Katz (KK) thick stool smear remains the current standard to m...
INTRODUCTION: In November 2022, the online artificial intelligence (AI) chatbot ChatGPT was released...
PURPOSE: To compare the quality of deep learning image reconstructed (DLIR) virtual monochromatic im...
This article argues that significant risks are being taken with using GenAI in mental health that sh...