Latest AI and machine learning research in clinical trials for healthcare professionals.
There is a clinical need to develop lipid nanoparticles (LNPs) to deliver congenital therapies to th...
Artificial Intelligence (AI) is poised to revolutionize healthcare by enhancing clinical practice, d...
Timely disruptive tools for the detection of pathogens in foods are needed to face global health and...
This study aims to develop explainable AI methods for matching patients with phase 1 oncology clinic...
Sleep is a crucial aspect of geriatric assessment for hospitalized older adults, and implementing AI...
OBJECTIVE: This study aims to assess the impact of LearnGuide, a specialized ChatGPT tool designed t...
Computer-vision and machine-learning (ML) approaches are being developed to provide scalable, unbias...
Several studies report the benefits and accuracy of using autosegmentation for organ at risk (OAR) o...
INTRODUCTION: Tinnitus, the perception of sound without an external auditory stimulus, affects appro...
Characterization of breast parenchyma in dynamic contrast-enhanced magnetic resonance imaging (DCE-M...
Despite advancements in detection and treatment, tuberculosis (TB), an infectious illness caused by ...
Cardiac screening of newly discovered drugs remains a longstanding challenge for the pharmaceutical ...
BACKGROUND: Artificial intelligence models are increasingly gaining popularity among patients and he...
UNLABELLED: The increasing knowledge of microbial ecology in food products relating to quality and s...
INTRODUCTION: Construction sites are prone to numerous safety risk factors, but safety managers have...
OBJECTIVE: This study investigates the use of Large Language Models (LLMs) for matching patients to ...
Predicting the duration of traffic incidents is challenging due to their stochastic nature. Accurate...
Traffic crashes present substantial challenges to human safety and socio-economic development in urb...
BACKGROUND: The early diagnosis and treatment of Heliobacter pylori (H.pylori) gastrointestinal infe...
This study evaluates the diagnostic efficacy of automated machine learning (AutoGluon) with automate...
Accurate prediction of epidemics is pivotal for making well-informed decisions for the control of in...