Latest AI and machine learning research in surgery for healthcare professionals.
In this study, we report a case of incarcerated direct inguinal hernia (DIH) after robot-assisted ra...
OBJECTIVES: Despite increasing use of robotic technology for minimally invasive hysterectomy with sa...
IMPORTANCE: To better understand the emerging role of artificial intelligence (AI) in surgical train...
BACKGROUND: Robot-assisted laparoscopic surgery has gained popularity, which has contributed to a de...
All mammalian mothers form some sort of caring bond with their infants that is crucial to the develo...
This paper proposes a cylindrical grip type of tactile device that is effectively integrated to a su...
Detection of the presence and absence of bone invasion by the tumor in oral squamous cell carcinoma ...
We assessed whether the severity of anastomotic urinary leakage detected during routine cystourethro...
OBJECTIVES: Radical cystectomy (RC) represents the gold standard treatment for high-risk bladder can...
Robotic wheelchair research and development is a growing sector. This article introduces a robotic w...
BACKGROUND: Fungal spondylodiscitis is a rare infectious disease. The secondary lumbar spinal stenos...
Real-time systems are widely used in industry, including technological process control systems, indu...
OBJECTIVE:  To summarize the available evidence of TAP Block in efficacy in laparoscopic or robotic ...
This study evaluates the difference of robot-assisted radical prostatectomy (RARP) costs in patients...
PURPOSE: The majority of lumbar spine surgery referrals do not proceed to surgery. Early identificat...
Using deep learning models to analyze patients with intracranial tumors, to study the image segmenta...
The Track-Hold System (THS) project, developed in a healthcare facility and therefore in a controlle...
PURPOSE: Patients with pharmacoresistant refractory epilepsy may require epilepsy surgery to prevent...
LITERATURE REVIEW: Cystoscopy is the gold standard for initial macroscopic assessments of the human ...
BACKGROUND: Real-time prediction of surgical duration can inform perioperative decisions and reduce ...
An autonomous robotic laparoscopic surgical technique is capable of tracking tissue motion and offer...