Latest AI and machine learning research in surgery for healthcare professionals.
Locally advanced laryngeal cancers treatment often involves total laryngectomy, which some patients are unwilling to undergo, even if this choice reduces their survival probability. Therefore, the objective of laryngeal oncologic surgery is not only to remove the tumor, but also to preserve the organ and its functions. To overcome these concerns, several partial laryngectomy techniques have been d...
BACKGROUND: Thoracic segmental spinal anesthesia (SA) may be a good alternative to general anesthesia (GA) for abdominal operations and laparoscopic procedures, especially in high-risk patients.
The CRISPR/Cas12a system is a revolutionary genome editing technique that is widely employed in biosensing and molecular diagnostics. However, there a...
It is known that over half of previously surveyed surgeons performing Robot-Assisted Laparoscopic Surgery (RALS) and three-quarters of those performin...
Osteoporotic vertebral compression fracture (OVCF) is a serious complication of osteoporosis, and percutaneous vertebroplasty (PVP) is a major therape...
Robotic assisted surgery (RAS) has seen a global rise in adoption. Despite this, there is not a standardised training curricula nor a standardised mea...
The objective of this study is to explore the safety and effectiveness of two new models of KangDuo surgical robots for partial nephrectomy in porcine...
In the era of robotic prostate surgery, various techniques have been developed to improve functional outcomes. Urinary continence has shown satisfacto...
The last 2 decades have brought important developments in anesthetic technology, including robotic anesthesia. Anesthesiologists titrate the administr...
Intravenous (IV) fluids and vasopressor agents are key components of hemodynamic management. Since their introduction, their use in the perioperative ...
BACKGROUND: The precise recognition of liver vessels during liver parenchymal dissection is the crucial technique for laparoscopic liver resection (LL...
PURPOSE: Attaining sufficient microsurgical skills is paramount for neurosurgical trainees. Kinematic analysis of surgical instruments using video off...
Since the introduction of the single-port (SP) robotic system, SP trans-axillary robot-assisted thyroidectomy (SP-TART) has been performed. We aimed t...
This paper proposes a method for generating dynamic virtual fixtures with real-time 3D image feedback to facilitate human-robot collaboration in medic...
BACKGROUND: Hemangioblastoma (HB) is a highly vascularized tumor most commonly occurring in the posterior cranial fossa, requiring accurate preoperati...
To investigate the effectiveness of continuity of care after robot-assisted adrenal tumor resection under ambulatory mode. Patients who underwent robo...
Assuring communication redundancy during the interruption and establishing appropriate teaching environments for local surgeons are essential to makin...
Intelligent prediction of risk of blood transfusion among hospitalized patients can identify at-risk patients and provide timely information to the ho...
OBJECTIVE: In this study, we were aimed to identify important variables via machine learning algorithms and predict postoperative delirium (POD) occur...
Advances in technology and digital tools like the Internet of Things (IoT), artificial intelligence (AI), and sensors are shaping the field of orthopa...