The transition from laparoscopic to robotic surgery for left-sided colorectal cancer raises safety concerns during the learning curve, particularly when complex cases are preferentially selected for the robotic platform. We evaluated a machine learni...
Computer assisted surgery (Abingdon, England)
Jan 16, 2026
Complex pelvic fractures are infamously challenging to fix surgically because of their fine anatomy and proximity to vital neurovascular structures. Traditional open reduction and internal fixation (ORIF) improves stability but is complicated by exce...
Robotic surgery has emerged as a key minimally invasive approach for gastrointestinal malignancies, stimulating substantial global research activity. This study employed bibliometric and visual methods to map the knowledge structure, evolutionary tra...
Artificial intelligence (AI) has become a transformative technology in surgical practice, revolutionizing modern healthcare and offering advancements in precision, efficiency, and patient outcomes. Despite its potential, the integration of AI technol...
The reach and scope of minimally invasive surgical procedures can be transformed via the development of continuum robots. Through soft, flexible structures and accurate navigation, previously inaccessible anatomical regions can be safely reached. Dep...
BACKGROUND: Preoperative prediction of surgical difficulty in robotic-assisted total mesorectal excision for rectal cancer remains challenging. While pelvic anatomical parameters measured by MRI have been associated with surgical complexity in laparo...
Retinal vein cannulation (RVC) is an emerging method for treating retinal vein occlusion (RVO). The success of this procedure depends on surgeon expertise and, recently, robotic assistance. This paper proposes an autonomous RVC workflow leveraging de...
BACKGROUND: Robotic-assisted surgery (RAS) has grown rapidly in recent decades, and several RAS procedures have become the standard. However, the physical and mental demands of minimally invasive surgery (MIS) techniques can lead to ergonomic shortco...
Understanding object information during robotic hand grasping is a key goal in robotics. Researchers have integrated tactile sensors to replicate artificial haptics on humanoid robot fingertips, but robotic grasping has yet to be fully applied in pal...
OBJECTIVE: To develop, validate, and compare a Traditional Multivariable Logistic Regression model with a Machine Learning-based LASSO Regression Model for predicting significant renal function recovery in adult patients undergoing surgical repair fo...
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