Latest AI and machine learning research in cultural competence for healthcare professionals.
High Throughput Screening (HTS) is a common approach in life sciences to discover chemical matter th...
The vast amount and diversity of the content shared on social media can pose a challenge for any bus...
There is wide consensus that the prefrontal cortex (PFC) is able to exert cognitive control on behav...
Expert opinion plays an important role when choosing clusters of chemical compounds for further inve...
Traditional analytic methods are often ill-suited to the evolving world of health care big data char...
The consistency of propensity score (PS) estimators relies on correct specification of the PS model....
It is well-known that a spontaneous reporting system suffers from significant under-reporting of adv...
Carotid intima-media thickness (C-IMT) measurements provide a non-invasive assessment of subclinical...
BACKGROUND: Recent literature on the comparison of machine learning methods has raised questions abo...
Recent works have implemented machine learning based solutions for many complex classification tasks...
Domain generalized semantic segmentation is an essential computer vision task, for which models only...
High-speed and accuracy identification of pathogens has become increasingly critical in both individ...
Accurate assessment of chlorophyll a (Chla) concentration distribution and variations is significant...
Metabolic syndrome, characterized by central obesity, hypertension, hyperglycemia, dyslipidemia, and...
Recent advancements in machine learning bring unique opportunities in health fields but also pose co...
Bias in artificial intelligence (AI) is a pervasive challenge, often reinforcing systemic inequities...
Estimating optimal adaptive treatment strategies (ATSs) can be done in several ways, including dynam...
Integrating artificial intelligence (AI) into cardiovascular clinical trials is emerging as a key fa...
Imbalanced image classification faces critical challenges in balancing the quality and diversity of ...
Machine-learning (ML) models have the potential to transform health care by enabling more personaliz...
The global impact of COVID-19 has caused a significant rise in the demand for psychological counseli...