Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Minimally invasive surgical approaches still provide limited exposure. Access to the L2-L5 intervertebral discs during a single procedure is challenging and often requires repositioning of the patient and adopting an alternative approach.
BACKGROUND: Machine-learning can elucidate complex relationships/provide insight to important variables for large datasets. This study aimed to develop an accurate model to predict neonatal surgical site infections (SSI) using different statistical methods.
A neuromuscular interface (NI) that can be employed to operate external robotic devices (RD), including commercial ones, was proposed. Multichannel el...
BACKGROUND: There is limited consensus regarding risk factors for postoperative bleeding. The objective of this work was to investigate the capability...
Lower-limb amputees typically experience reduced mobility and higher metabolic rates than non-amputees. It may be possible to improve their mobility a...
This paper presents a system that combines computer vision and surface electromyography techniques to perform grasping tasks with a robotic hand. In o...
A large recent study analyzed the relationship between multiple factors and neonatal outcome and in preterm births. Study variables included the reas...
PURPOSE: The development of common ontologies has recently been identified as one of the key challenges in the emerging field of surgical data science...
PURPOSE OF REVIEW: Recent advancements in minimally invasive approaches for prostate surgery have provided numerous options for surgical management of...
Robotic endoscopic systems offer a minimally invasive approach to the examination of internal body structures, and their application is rapidly extend...
Posterior tracheopexy directly addresses membranous tracheal intrusion in severe tracheomalacia (TM). We have previously reported our experience of p...
Robotic devices have been proposed to meet the rising need for high intensity, long duration, and goal-oriented therapy required to regain motor funct...
BACKGROUND: Spinal cord injury is a devastating condition that can dramatically impact hand motor function. Passive and active assistive devices are b...
Due to the narrow space and a harsh chemical environment in the sterilization processes for the end-effector of surgical robots, it is difficult to in...
This work develops a speech recognition system that uses two procedures of proposed noise detection and combined noise reduction. The system can be us...
Biomimetic, entirely soft robots with animal-like behavior and integrated artificial nervous systems will open up totally new perspectives and applica...
The first application of robotic technology in surgery was described in 1985 when a robot was used to define the trajectory for a stereotactic brain b...
BACKGROUND: The essential issue of internal validity has not been adequately addressed in prediction models such as artificial neural network (ANN), s...