Latest AI and machine learning research in surgery for healthcare professionals.
To examine a new technique of robot-assisted nephroureterectomy without robot reldocking or patient repositioning. Patients diagnosed as upper tract urothelial carcinoma treated with this modality between November 2015 and January 2019 at Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine were included in this analysis. Data collection including patient demo...
Robot-assisted brain tumor biopsy is becoming one of the most important innovative technologies in neurosurgical practice. The idea behind its engagement is to advance the safety and efficacy of the biopsy procedure, which is much in demand when planning the management of endocranial tumor pathology. Herein, we provide our earliest institutional experiences in utilizing this mesmerizing technology...
In this study we are developing predictive models for a length of stay after a gynecological surgery, complications and the length of the surgery usin...
Robotic rehabilitation can offer effective solutions, facilitating physiotherapist work, and helping patients regain their strength. Visualizing resul...
In this article, we compare the performance of a state-of-the-art segmentation network (UNet) on two different glioblastoma (GB) segmentation datasets...
Although colonoscopy is the most frequently performed endoscopic procedure, the lack of standardized reporting is impeding clinical and translational ...
Single-anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S) is simpler and has similar efficacy for obesity and obesity-associated metabo...
Technology has had a dramatic impact on how diseases are diagnosed and treated. Although cut, sew, and tie remain the staples of surgical craft, new t...
Minimally invasive surgery has rapidly evolved from the once novel laparoscopic approach to advanced robotic surgery. In the past few decades alone, r...
Humans have long been fascinated by the opportunities afforded through augmentation. This vision not only depends on technological innovations but als...
Robotic systems may help efficiently execute complicated tasks that require a high degree of accuracy, and this, in large part, explains why robotics ...
Humans use all surfaces of the hand for contact-rich manipulation. Robot hands, in contrast, typically use only the fingertips, which can limit dexter...
Lower limb rehabilitation exoskeleton robots connect with the human body in a wearable way and control the movement of joints in the gait rehabilitati...
To evaluate the feasibility, safety, and accuracy of the new man-machine interactive robotic system in model experiment. The implantation of the 8 to ...
BACKGROUND: Machine-learning algorithms are increasingly used in epidemiology to identify true predictors of a health outcome when many potential pred...
OBJECTIVES: Minimally invasive thoracic surgery has evolved with the introduction of robotic platforms. This study aimed to compare the long-term and ...
Bioinspired hybrid soft robots that combine living and synthetic components are an emerging field in the development of advanced actuators and other r...
To compare the postoperative outcomes and urinary continence recovery time between standard robotic-assisted laparoscopic radical prostatectomy (RARP...
BACKGROUND: Aneurysmal subarachnoid hemorrhage (aSAH) is associated with a high mortality and poor neurologic outcomes. The biologic underpinnings of ...
BACKGROUND: Predicting outcome after aneurysmal subarachnoid hemorrhage (aSAH) is known to be challenging and complex. Machine learning approaches, of...