Latest AI and machine learning research in us health policy for healthcare professionals.
Large language models (LLMs) are generative artificial intelligence models that create content on the basis of the data on which it was trained. Processing capabilities have evolved from text only to being multimodal including text, images, audio, and video features. In health care settings, LLMs are being applied to several clinically important areas, including patient care and workflow efficienc...
Generative artificial intelligence (AI) may revolutionize health care, providing solutions that range from enhancing diagnostic accuracy to personalizing treatment plans. However, its rapid and largely unregulated integration into medicine raises ethical concerns related to data integrity, patient safety, and appropriate oversight. One of the primary ethical challenges lies in generative AI's pote...
BACKGROUND: Revision total hip arthroplasty (rTHA) was recently removed from the Medicare inpatient-only list. However, appropriate candidate selectio...
Freehand 3-D ultrasound imaging is emerging as a promising modality for regular spine exams due to its noninvasiveness and affordability. The laminae ...
Poor sleep quality in Autism Spectrum Disorder (ASD) individuals is linked to severe daytime behaviors. This study explores the relationship between a...
Digital health applications (apps) have been available on prescription since 2019 and offer a multitude of functions in health monitoring, symptom rec...
Our primary aim with this study was to build a patient-level classifier for stroke territory in DWI using AI to facilitate fast triage of stroke to a ...
Radiologists' traditional role in the diagnostic process is to respond to specific clinical questions and reduce uncertainty enough to permit treatmen...
Early detection of lung cancer is crucial for improving patient outcomes. Although advances in diagnostic technologies have significantly enhanced th...
Care ethics has been advanced as a suitable framework for evaluating the ethical significance of assistive robotics. One of the most prominent care et...
In the era of the blue bio-economy, which promotes the sustainable utilization and exploitation of marine resources for economic growth and developmen...
OBJECTIVE: Developing machine learning (ML) models to predict cognitive impairment among Medicare beneficiaries in the United States.
Emotions are integral to human social interactions, with diverse responses elicited by various situational contexts. Particularly, the prevalence of n...
The informal settlements of Nairobi have higher neonatal and infant mortality rates than the average for Nairobi. Universal access to important diagno...
Cambodia has made progress in reducing the under-five mortality rate and burden of infectious diseases among children over the last decades. However t...
Smile aesthetics is an important factor to consider during orthodontic treatment planning. The aim of the present study is to assess the predictabilit...
An artificial intelligence-assisted prediction model for enteral nutrition-associated diarrhoea (ENAD) in acute pancreatitis (AP) was developed utili...
As breast screening services move towards use of healthcare AI (HCAI) for screen reading, research on public views of HCAI can inform more person-cent...
This article will consider the disruptive impact of generative AI on moral beliefs and practices associated with equality, particularly equality of op...
This paper demonstrates a new, promising method using generative artificial intelligence (AI) to augment the educational value of electronic textbooks...