Latest AI and machine learning research in surgery for healthcare professionals.
The Clavien-Dindo Classification (CDC) only reports the postoperative complication of highest grade. It is thus of limited value for radical cystectomy, after which patients usually experience multiple complications. The Comprehensive Complication Index (CCI) is a novel scoring system, which incorporates all postoperative events in one single value. The study aimed to adopt the CCI for the evalua...
Major vascular injury resulting in uncontrolled bleeding is a catastrophic and often fatal complication of minimally invasive surgery. At the outset of these events, surgeons do not know how much blood will be lost or whether they will successfully control the hemorrhage (achieve hemostasis). We evaluate the ability of a deep learning neural network (DNN) to predict hemostasis control ability usin...
BACKGROUND: Lateral pelvic lymph node (LPLN) dissection is becoming increasingly important in the treatment of advanced low rectal cancer patients. Ho...
PURPOSE: Modern vitreo-retinal surgery has scaled new frontiers with the advent of better instrumentation. However, physiological tremors, intraocular...
Surgical revision of biliary enteric anastomoses (BEA) can be a challenging undertaking and a robotic platform may provide advantages that address man...
The technology of artificial intelligence (AI) has made significant in-roads into the field of medicine over the last decade. With surgery being a dis...
Robot-assisted laparoscopic prostatectomy requires a pneumoperitoneum combined with steep Trendelenburg positioning, and these conditions can be assoc...
BACKGROUND: Urogenital dysfunction is recognized as a serious complication affecting patient quality of life after rectal cancer surgery to treat rect...
Surgical complications pose significant challenges for surgeons, patients, and health care systems as they may result in patient distress, suboptimal ...
Deep learning (DL) is a subset of machine learning that is rapidly gaining traction in surgical fields. Its tremendous capacity for powerful data-driv...
BACKGROUND: Robot-assisted thoracic surgery has gradually been accepted as an alternative treatment for early-stage non-small-cell lung cancer (NSCLC)...
BACKGROUND: Cerebral hemorrhage (CH) is a commonly seen disease, and an accurate diagnosis of the type of CH is a very crucial step in treatment. Ther...
Growing intrathoracic goiters may compress surrounding organs and deteriorate the cardiopulmonary function. Treating such cases requires carefully con...
Ureterosciaic hernia is a rarely described pathology that represents a diagnostic and therapeutic challenge for the treating physician. In this case r...
We describe the first five robot-assisted radical prostatectomies (RARPs) performed with the new Hugo RAS system (Medtronic, Minneapolis, MN, USA) in ...
OBJECTIVE: Differences in outcome after radical prostatectomy for prostate cancer can partly be explained by intersurgeon differences, where degree of...
Even though electrocardiography is a diagnostic procedure that is now more than 100 years old, medicine cannot do without it. On the contrary, interes...
BACKGROUND: The ROSA robot (Medtech) has been shown to be a useful instrument in the surgeon's armamentarium for accurate placement of stereotactic el...
BACKGROUND: Artificial intelligence (AI) methods and AI-enabled metrics hold tremendous potential to advance surgical education. Our objective was to ...
Upper limb amputation severely affects the quality of life and the activities of daily living of a person. In the last decade, many robotic hand prost...