Latest AI and machine learning research in surveys for healthcare professionals.
The Anti-Nuclear Antibodies (ANA) test using Human Epithelial type 2 (HEp-2) cells in the Indirect I...
BACKGROUND: Artificial intelligence (AI) is a rapidly growing and evolving field impacting pharmacy ...
BACKGROUND: Artificial intelligence (AI) has become increasingly important in health care, generatin...
Research on soil organic carbon (SOC) is crucial for improving soil carbon sinks and achieving the "...
Magnetic resonance imaging (MRI) provides detailed structural information of the internal body organ...
BACKGROUND: Manually creating multiple-choice questions (MCQ) is inefficient. Automatic item generat...
Marker-based optical motion capture systems have been used as a cardinal vehicle to probe and unders...
The reliability of automated image interpretation of point-of-care (POC) echocardiography scans depe...
Freehand 3-D ultrasound imaging is emerging as a promising modality for regular spine exams due to i...
In recent years, a plethora of artificial intelligence (AI) chatbots have been developed and made av...
In recent times, characterized by the rapid advancement of science and technology, the educational s...
Accurate soil pH and soil organic carbon (SOC) estimations are vital for sustainable agriculture, as...
Mobile collaborative intelligent nursing robots have gained significant attention in the healthcare ...
Large language models (LLMs) may facilitate and expedite systematic reviews, although the approach t...
This study investigated the utilization of digital phenotypes and machine learning algorithms to pre...
We propose a neural networks method to estimate extreme Expected Shortfall, and even more generally,...
The ability to predict HIV-1 resistance to broadly neutralizing antibodies (bnAbs) will increase bnA...
BACKGROUND: Cytopathological examination serves as a tool for diagnosing solid tumors and hematologi...
Physics-informed neural networks (PINNs) have recently emerged as a promising framework for solving ...
OBJECTIVES: This study aimed to develop a model to predict the autonomy preference (AP) and satisfac...
Synthetic data is becoming a valuable tool for computational pathologists, aiding in tasks like data...