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Telesurgery With Miniature Robots to Leverage Surgical Expertise in Distributed Expeditionary Environments.

Military medicine
UNLABELLED: This study aimed to evaluate the capability of performing telesurgery via radio transmission for military arenas where wired internet connections may not be practical. Most existing robotic surgery systems are too large to effectively dep...

Diagnostic Machine Learning Models for Acute Abdominal Pain: Towards an e-Learning Tool for Medical Students.

Studies in health technology and informatics
Computer-aided learning systems (e-learning systems) can help medical students gain more experience with diagnostic reasoning and decision making. Within this context, providing feedback that matches students' needs (i.e. personalised feedback) is bo...

Big Data and Machine Learning in Plastic Surgery: A New Frontier in Surgical Innovation.

Plastic and reconstructive surgery
Medical decision-making is increasingly based on quantifiable data. From the moment patients come into contact with the health care system, their entire medical history is recorded electronically. Whether a patient is in the operating room or on the ...

[Simulation-based robot-assisted surgical training].

Urologiia (Moscow, Russia : 1999)
Since the first use of robotic surgical system in 2000, the robot-assisted technology has gained wide popularity throughout the world. Robot-assisted surgical training is a complex issue that requires significant efforts from students and teacher. Du...