Latest AI and machine learning research in work force for healthcare professionals.
In this study, we investigate the application of self-supervised learning via pre-trained Long Short...
Machine learning (ML) is increasingly prevalent in mental health care, with contemporary initiatives...
Diagnostic errors pose a significant public health challenge, affecting nearly 800,000 Americans ann...
OBJECTIVE: The aim of this study was compare the effects of combined training, which included robot-...
Few-shot image generation aims at generating novel images for the unseen category when given K image...
BACKGROUND: Treadmill based Robotic-Assisted Gait Training (t-RAGT) provides for automated locomotor...
Given the current American health insurance environment, many patients do not access physical therap...
Brain-computer interfaces (BCIs) provide a direct pathway from the brain to external devices and hav...
BACKGROUND: Since the release of ChatGPT by OpenAI in November 2022, generative artificial intellige...
BACKGROUND: Over the last few decades: heart disease (HD) has emerged as one of the deadliest diseas...
PURPOSE: Deep convolutional neural networks (CNN) hold promise for assisting the interpretation of d...
Physical rehabilitation plays a critical role in enhancing health outcomes globally. However, the sh...
This study aims to develop physician support software for determining ovulation time and assess its ...
BACKGROUND: Globally, the rates at which the aging population and the prevalence of chronic diseases...
PURPOSE: There are many radiological datasets for breast cancer, some which have supported the devel...
The concept of an intelligent augmented reality (AR) assistant has significant, wide-ranging applica...
BACKGROUND: Telemedicine has revolutionized health care by significantly enhancing accessibility and...
As many countries face rapid population aging, the supply of manpower for caregiving falls far short...
OBJECTIVES: To assess the correlation between the use of artificial intelligence (AI) software and b...
Conformer ranking is a crucial task for drug discovery, with methods for generating conformers often...
Integrating artificial intelligence (AI) into healthcare prompts the need to measure its proficiency...