Latest AI and machine learning research in surgery for healthcare professionals.
OBJECTIVES: Postoperative pancreatic fistula (POPF) is the main complication of distal pancreatectomy (DP) and affects the prognosis of patients. The impact of several clinical factors mentioned in recent studies on POPF remains controversial. This study aimed to investigate the impact of a remnant pancreas and other perioperative factors on POPFs occurring after robot-assisted distal pancreatecto...
OBJECTIVES: To compare surgical and functional outcomes between robot-assisted laparoscopic partial nephrectomy and open partial nephrectomy in patients with renal cell carcinoma with stage 4 chronic kidney disease.
BACKGROUND: Artificial intelligence (AI) holds tremendous potential to reduce surgical risks and improve surgical assessment. Machine learning, a subf...
Deep learning is a new learning concept and a highly effective way of learning, which is still being explored in the field of nursing education. This ...
Understanding the brain's functional architecture has been an important topic in the neuroimaging field. A variety of brain network modeling methods h...
We aim to review the available literature on patients with esophageal cancer treated with robot-assisted (RAME) or video-assisted McKeown's esophagect...
A prolonged length of hospital stay (LOS) has become an important issue among patients undergoing cardiovascular surgery in our aging society. However...
PURPOSE: The purpose of this paper is to showcase a fully stapled approach to creating a gastrojejunostomy during a robot-assisted Roux-en-Y gastric b...
Currently, the importance of autonomous operating devices is rising with the increasing number of applications that run on robotic platforms or self-d...
OBJECTIVE: Because the recovery of genitourinary function after total mesorectal excision (TME) is affected by multiple factors, the role of robot-ass...
BACKGROUND: Minimally invasive surgery is complex and associated with substantial learning curves. Computer-aided anatomy recognition, such as artific...
INTRODUCTION: Single-port robot-assisted laparoscopic surgery is a breakthrough in the field of minimally invasive surgery. However, it is currently o...
Microrobot swarms have promising prospects in biomedical applications ranging from targeted cargo delivery to minimally invasive surgery. However, suc...
PURPOSE: During brain tumor surgery, care must be taken to accurately differentiate between tumorous and healthy tissue, as inadvertent resection of f...
OBJECTIVES: The primary objectives were to evaluate Surgical Site Occurrences (SSO) and Surgical Site Occurrences requiring procedural Intervention (S...
In computer-assisted surgery, it is typically required to detect when the tool comes into contact with the patient. In activated electrosurgery, this ...
Although significant progress has been made with surgical methods, the incidence of complications after minimally invasive surgery in patients with ce...
OBJECTIVE: One of the major difficulties in spinal surgery is the injury of important tissues caused by tissue misclassification, which is the source ...
Microcatheters have enabled diverse minimally invasive endovascular operations and notable health benefits compared with open surgeries. However, with...