Latest AI and machine learning research in state required cme for healthcare professionals.
We propose a novel unified frameork for automated distributed active learning (AutoDAL) to address m...
BACKGROUND: Each year, millions of Americans receive evidence-based psychotherapies (EBPs) like cogn...
BACKGROUND: Complete mesocolic excision (CME) surgery is increasingly implemented for the resection ...
Complete mesocolic excision (CME) in right-sided colon cancers appears to confer oncological benefit...
The field of artificial intelligence (AI) in medical imaging is undergoing explosive growth, and Rad...
Stochastic models of biomolecular reaction networks are commonly employed in systems and synthetic b...
 The objective of the study was to review the obstetric outcomes of complete hydatidiform molar pre...
With vast interest in machine learning applications, more investigators are proposing to assemble la...
BACKGROUND: High-resolution medical images that include facial regions can be used to recognize the ...
To explore the feasibility of an automatic machine-learning algorithm-based quality control system f...
OBJECTIVE: To summarize our initial experience with robot-assisted complete mesocolic excision (R-CM...
Coulomb matrix eigenvalues (CMEs) are global 3D representations of molecular structure, which have b...
Background Radiofrequency ultrasound data from the liver contain rich information about liver micros...
BACKGROUND: In this age of big data, certain models require very large data stores in order to be in...
This study investigated the impact of coronary CT angiography (cCTA)-derived plaque markers and mach...
Purpose To compare breast cancer detection performance of radiologists reading mammographic examinat...
Laparoscopic complete mesocolic excision (CME) for transverse colon cancer is technically challengi...
Purpose To evaluate the performance of an artificial intelligence (AI) tool using a deep learning al...
Purpose To evaluate the efficacy of deep convolutional neural networks (DCNNs) for detecting tubercu...
Purpose To demonstrate the feasibility of contrast material-enhanced ulrasonographic (US) nephrostog...