Latest AI and machine learning research in product alert for healthcare professionals.
This pilot study aimed to assess the safety and feasibility of an EMG-driven rehabilitation robot in...
The detection of drug-drug interactions (DDIs) is a crucial task for drug safety surveillance, which...
BACKGROUND: Traumatic Brain Injury (TBI) is a common condition with potentially severe long-term com...
We sought to craft a drug safety signalling pipeline associating latent information in clinical free...
Lane detection plays a vital role in making the idea of the autonomous car a reality. Traditional la...
Feasibility of automated volume-derived cardiac functional evaluation has successfully been demonstr...
We demonstrate the capabilities of two model-agnostic local post-hoc model interpretability methods,...
AMPylation is an emerging post-translational modification that occurs on the hydroxyl group of threo...
Soft robotic glove with brain computer interfaces (BCI) control has been used for post-stroke hand f...
Predicting the incidence of complex chronic conditions such as heart failure is challenging. Deep le...
Stroke is the second leading cause of death globally after ischemic heart disease, also a risk facto...
Memristive systems and devices are potentially available for implementing reservoir computing (RC) s...
This study evaluates the accuracy and efficiency of automatic tooth segmentation in digital dental m...
The demand for cost-efficient manufacturing of complex metal components has driven research for meta...
Authors' views on the role of artificial intelligence and machine learning in pharmacovigilance. (MP...
The tools of artificial intelligence (AI) have enormous potential to enhance activities in pharmacov...
TransCelerate reports on the results of 2019, 2020, and 2021 member company (MC) surveys on the use ...
INTRODUCTION: Artificial intelligence based on machine learning has made large advancements in many ...
Increasing availability of electronic health databases capturing real-world experiences with medical...
With the rapid development of artificial intelligence (AI) technologies, and the large amount of pha...
INTRODUCTION: Signal validation in pharmacovigilance is the process of evaluating data to decide whe...