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...
This study aims to develop explainable AI methods for matching patients with phase 1 oncology clinic...
Several studies report the benefits and accuracy of using autosegmentation for organ at risk (OAR) o...
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 ...
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...
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...
Bilateral robotic rehabilitation has proven helpful in the recovery of upper limb motor function in ...
OBJECTIVES: The paper develops a machine learning-based safety index for classifying traffic conflic...
This study aims to investigate the influence of medical explainable artificial intelligence (XAI) o...
BACKGROUND: Artificial intelligence (AI) has made remarkable progress in image recognition using dee...
Clinical trials are necessary for assessing the safety and efficacy of treatments. However, trial ti...
BACKGROUND AND OBJECTIVES: Estimating heterogeneous treatment effects (HTEs) in randomized controlle...
OBJECTIVE: Predicting an individual's response to antidepressant medication remains one of the most ...
BACKGROUND AND PURPOSE: Functional recovery after stroke is often limited, despite various treatment...