Latest AI and machine learning research in surgery for healthcare professionals.
Radio-frequency dosimetry is an important process in assessments for human exposure safety and for compliance of related products. Recently, computational human models generated from medical images have often been used for such assessment, especially to consider the inter-subject variability. However, a common procedure to develop personalized models is time consuming because it involves excessive...
BACKGROUND: Minimal access surgery (MAS) is well-established in urological surgery. However, MAS is technically demanding and associated with a prolonged learning curve. Robot-assisted laparoscopy has made progress in overcoming these challenges.
 Robot-assisted rehabilitation is an appealing strategy for patients after stroke, as it generates repetitive movements in a consistent, precise, and ...
Specimen pathology findings collectively impact the long-term outcomes of robot-assisted laparoscopic prostatectomy. Since seminal vesicle invasion (...
Spinal cord injury (SCI) is a widespread, life-altering injury leading to impairment of sensorimotor function that, while once thought to be permanent...
In this paper, an overview of advanced robotic surgical systems in ophthalmology is provided. The systems are introduced as representative examples of...
BACKGROUND: The common use of laparoscopic intervention produces impressive amounts of video data that are difficult to review for surgeons wishing to...
Robot-assisted partial nephrectomy (RAPN) is increasingly applied to renal hilar tumors. The present study aims to introduce our vessel and tension-f...
INTRODUCTION: Adverse effects in the sexual sphere are common in patients who have undergone radical prostatectomy (RP). Climacturia, involuntary loss...
The advent of transoral robotic surgery (TORS) has allowed transoral approaches for parapharyngeal space (PPS) tumours to be re-evaluated. It provides...
Individuals with tetraplegia, typically attributed to spinal cord injuries (SCI) at the cervical level, experience significant health care costs and l...
Soft robots take advantage of rich nonlinear dynamics and large degrees of freedom to perform actions often by novel means beyond the capability of co...
BACKGROUND: Surgical site infections are a major driver of morbidity and increased costs in the postoperative period after spine surgery. Current tool...
Soft continuum robots are getting more popular in areas such as minimally invasive surgery, search and rescue, and inspection due to their inherent co...
Many studies have shown the operative feasibility and safety of robotic thyroidectomy. However, there is still a concern on the operative invasivenes...
In evolving clinical environments, the accuracy of prediction models deteriorates over time. Guidance on the design of model updating policies is limi...
Surgical Site Infection surveillance in healthcare systems is labor intensive and plagued by underreporting as current methodology relies heavily on m...
The goal of this study was to investigate the application of machine learning models capable of capturing multiplica tive and temporal clinical risk f...
Robotic surgery has been one of the most revolutionary advancements in surgery, and demand is anticipated to grow. The performance of robotic surgery ...