Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Robotic spinal surgery may result in better pedicle screw placement accuracy, and reduct...
 We aimed to determine the incidence and risk factors for development of diabetes insipidus (DI) an...
Robot-assisted surgery platforms are utilized globally thanks to their stereoscopic vision systems a...
BACKGROUND: The KangDuo surgical robot (KD-SR-01) was recently developed in China. This study aims t...
BACKGROUND: Although there is increasing interest in minimally invasive prosthesis breast reconstruc...
BACKGROUND: Aim of the current study was to present the results of the implementation phase of a rob...
STUDY OBJECTIVE: Several simulation models have been evaluated for gynecologic procedures such as hy...
BACKGROUND AND OBJECTIVE: Machine learning (ML) is a subset of artificial intelligence that uses dat...
BACKGROUND: Despite recent improvements in perioperative outcomes after pheochromocytoma resection, ...
BACKGROUND: Endoscopic transaxillary approaches to thyroidectomy have been well described and gasles...
The advent of Industry 4.0 necessitates substantial interaction between humans and machines, present...
Gait coordination (GC), meaning that one leg moves in the same pattern but with a specific phase lag...
CT angiography prior to endovascular aortic surgery is the standard non-invasive imaging method for ...
The intraoperative estimated blood loss (EBL), an essential parameter for perioperative management, ...
AIMS: Risk stratification of atypical ductal hyperplasia (ADH) and ductal carcinoma in situ (DCIS), ...
Rectal cancer is one of the most prevalent cancers that arise in the digestive tract. The purpose of...
BACKGROUND: Robotic assistance in thyroidectomy is a developing field that promises enhanced surgica...
Automated skills assessment can provide surgical trainees with objective, personalized feedback dur...
BACKGROUND: Intravenous thrombolysis (IVT) before endovascular treatment (EVT) for acute ischemic st...
PURPOSE: Machine learning approaches can only be reliably evaluated if training, validation, and tes...
OBJECTIVE: Surgical skill assessment tools such as the End-to-End Assessment of Suturing Expertise (...