Latest AI and machine learning research in medical education for healthcare professionals.
Finite element methods (FEM) are popular approaches for simulation of soft tissues with elastic or v...
The academic curriculum has shown to promote sedentary behavior in college students. This study aime...
The effective and safe detection of illicit materials, explosives in particular, is currently of gro...
There has been widespread adoption of robotic total mesorectal excision (TME) for rectal cancer in r...
Diagnostic reasoning is a foundational ability of health professionals. The goal of enhancing clinic...
While robotic procedures are growing rapidly, medical students have a limited role in robotic surger...
Antimicrobial peptides (AMPs) are short peptides with a broad spectrum of antimicrobial activity. Th...
INTRODUCTION: Despite the importance of simulation-based training for robotic surgery, there is no c...
BACKGROUND: Emerging artificial intelligence (AI) technologies have diverse applications in medicine...
This paper proposes an automatic air-to-ground (A2G) channel model selection method based on machine...
In order to solve the problems of restricted classroom and lack of repeated training in good curricu...
Acoustic holography has been gaining attention for various applications, such as noncontact particle...
Recent developments of heterogeneous advanced oxidation for refractory organic contaminants and cata...
The development of an effective agricultural robot presents various challenges in actuation, localiz...
INTRODUCTION: Practice-Based Learning and Improvement, a core competency identified by the Accredita...
The use of robotic surgery has increased exponentially in the United States. Despite this uptick in ...
In this op-ed, we discuss the advantages of leveraging natural language processing (NLP) in the asse...
OBJECTIVES: Artificial intelligence (AI) is swiftly entering oral health services and dentistry, whi...
BACKGROUND: In medical imaging, images are usually treated as deterministic, while their uncertainti...
The performance of deep learning-based detection methods has made them an attractive option for robo...
BACKGROUND: A robotic rehabilitation gym can be defined as multiple patients training with multiple ...