Latest AI and machine learning research in surveys for healthcare professionals.
It is well-known that a spontaneous reporting system suffers from significant under-reporting of adv...
BACKGROUND: Validated training exercises are essential tools for surgeons as they develop technical ...
PURPOSE: Demographic change has resulted in an increase of elderly people, while at the same time th...
PURPOSE: Fuzzy set theory (FST) can improve various aspects of measurement with questionnaires. Howe...
Carotid intima-media thickness (C-IMT) measurements provide a non-invasive assessment of subclinical...
Kernel association (KA) in statistical pattern recognition used for classification and prediction ha...
Regular machine learning and data mining techniques study the training data for future inferences un...
Recent works have implemented machine learning based solutions for many complex classification tasks...
Accurate assessment of chlorophyll a (Chla) concentration distribution and variations is significant...
Early detection of acute coronary syndrome (ACS) is vital for reducing ischemic time and preserving ...
In Japan, chat-based mental health counseling services have low response rates due to understaffing....
Recent advancements in machine learning bring unique opportunities in health fields but also pose co...
The ubiquity of clinical artificial intelligence (AI) and machine learning (ML) models necessitates ...
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...
The rapid progress of artificial intelligence (AI) has spurred significant changes in education, hig...
Machine-learning (ML) models have the potential to transform health care by enabling more personaliz...
AIM: Determine the reliability and clinical validity of the Wolters classification of pulpitis.
This systematic review aims to assess the effectiveness of AI-Driven Decision Support Systems in imp...
PURPOSE: This study aims to highlight the significance of performing simulations, nasal hump reducti...