Latest AI and machine learning research in clinical trials for healthcare professionals.
OBJECTIVE: Clinical assessment of wrinkle depth is essential for efficacy evaluations of anti-ageing...
To explore the predictive value of traditional machine learning (ML) and deep learning (DL) algorith...
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...
OBJECTIVE: This research aims to cluster similar highway-railway grade crossings (HRGCs) to examine ...
BACKGROUND AND AIM: Accurate stratification of the risk of lymph node metastasis (LNM) following end...
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: Delivering HD-tDCS on individual motor hotspot with optimal electric fields could overco...
BACKGROUND: Transcranial color Doppler (TCD) is currently the only noninvasive bedside tool capable ...
PURPOSE: The purpose of this study was to investigate the added value of artificial intelligence (AI...
BACKGROUND AND OBJECTIVES: Estimating heterogeneous treatment effects (HTEs) in randomized controlle...
BACKGROUND: Robot-Assisted Gait Training (RAGT) is a novel technology widely employed in the field o...
OBJECTIVE: Predicting an individual's response to antidepressant medication remains one of the most ...
OBJECTIVE: Performing obstetric ultrasound scans is challenging for inexperienced operators; therefo...
BACKGROUND AND PURPOSE: Functional recovery after stroke is often limited, despite various treatment...
Spinal fusion surgery requires highly accurate implantation of pedicle screw implants, which must be...
Assisted living facilities cater to the demands of the elderly population, providing assistance and ...
Accurate segmentation of the pancreas in computed tomography (CT) holds paramount importance in diag...
The challenge of sustaining user engagement in eHealth interventions is a pressing issue with signif...