Latest AI and machine learning research in work force for healthcare professionals.
BACKGROUND: Traditional puncture skills training for refresher doctors faces limitations in effectiv...
INTRODUCTION: Although clinical, functional, and biomarker data predict asthma exacerbations, newer ...
This paper proposes DigitalUpSkilling, a novel IoT- and AI-based framework for improving and persona...
OBJECTIVE: To demonstrate and test the capabilities of the ACR Connect and AI-LAB software platform ...
Model quantization is widely used to realize the promise of ubiquitous embedded deep network inferen...
BACKGROUND: Over the years, approaches of the pharmaceutical industry to discover and develop drugs ...
BACKGROUND: This study presents an analysis of machine-learning model performance in image analysis,...
Deep neural networks (DNNs) and transfer learning (TL) have been used to improve surface electromyog...
BACKGROUND: Recent studies have identified significant gaps in equity, diversity, and inclusion (EDI...
Accurate image interpretation is essential in the field of radiology to the healthcare team in order...
BACKGROUND: Assessing the complex and multifaceted symptoms of patients with acute psychiatric disor...
A polluted air environment can potentially provoke infections of diverse respiratory diseases. The d...
INTRODUCTION: The use of artificial intelligence (AI) is growing quickly and has already had a signi...
Training machine learning models for tasks such as de novo sequencing or spectral clustering require...
Artificial intelligence (AI) technology is deeply changing our lives and provides impetus for improv...
This study investigates the efficacy of predicting age-related macular degeneration (AMD) activity t...
Creating decent work is among the priority issues for sustainable employment and development. This s...
Multi-parametric magnetic resonance imaging (mpMRI) exams have various series types acquired with di...
Non-small cell lung cancer (NSCLC) exhibits a comparatively slower rate of metastasis in contrast to...
BACKGROUND:  Healthcare provider burnout is a critical issue with significant implications for indiv...
CRISPR-Cas systems have transformed the field of synthetic biology by providing a versatile method f...