Latest AI and machine learning research in surgery for healthcare professionals.
INTRODUCTION: Use of robotic-assisted surgery is increasing, and resident involvement may lead to higher costs. We investigated whether senior resident involvement in noncomplex robotic cholecystectomy (RC) and inguinal hernia (RIH) would take more time and cost more when compared to non-robotic cholecystectomy (NRC) and inguinal hernia repair (NRIH).
BACKGROUND: Pancreaticoduodenectomy (PD) is complex procedure with high morbidity in the elderly. This retrospective study aimed to compare post-operative outcomes in patients ā„75 years of age who underwent robot-assisted (RA)PD and open PD.
To confirm whether machine learning algorithms (MLA) can achieve an effective risk stratification of dying within 7Ā days after basal ganglia hemorrhag...
Endoscopic ultrasound (EUS) was born from the combination of a high-frequency ultrasound probe with an endoscope to assess in detail the walls of the ...
To evaluate the differences in baseline chronic kidney disease (CKD) status in correlations between warm ischemic time (WIT) and acute kidney injury ...
. The limited functionality of hand prostheses remains one of the main reasons behind the lack of its wide adoption by amputees. Indeed, while commerc...
BACKGROUND: The Global Evaluative Assessment of Robotic Skills (GEARS) rubric provides a measure of skill in robotic surgery. We hypothesize surgery p...
The original stereoelectroencephalography frame-based implantation technique has been proven to be safe and effective. But this procedure is complicat...
To evaluate the feasibility and intraoperative technical parameters of the new robot-assisted surgical system Avatera by performing bilateral nephrec...
INTRODUCTION: Despite the importance of simulation-based training for robotic surgery, there is no consensus about its training curricula. Recently, a...
Continuum robot has great advantages in minimally invasive surgery (MIS) due to the slenderness and dexterity. But the friction and backlash result in...
Tree-based machine learning methods have gained traction in the statistical and data science fields. They have been shown to provide better solutions ...
The present study used triggered electromyographic (EMG) testing as a tool to determine the safety of pedicle screw placement. In this Institutional R...
Soft robotic hands are inherently safer and more compliant in robot-environment interaction than rigid manipulators, but their flexibility and versati...
BACKGROUND: Robot-assisted rectal resections are said to overcome the known difficulties of laparoscopic rectal surgery through technical advantages, ...
We recently developed a robotic human vaping mimetic real-time particle analyzer (HUMITIPAA) to evaluate the impact of change in chemical constituents...
The effective biopsy of pulmonary nodules is crucial to early diagnosis and consequent effective treatment for patients. As a relatively new procedure...
INTRODUCTION: Robot-assisted oesophagectomy (RAE) and thoracolaparoscopic oesophagectomy (TLE) are surgical techniques for the treatment of oesophagea...
To compare outcomes of robot-assisted partial nephrectomy (RAPN) and percutaneous tumor ablation (PTA) for completely endophytic renal masses. Data ...
This study describes the development (design, construction, instrumentation, and control) of a nursing mobile robotic device to monitor vital signals ...