622 research outputs found

    Identifying barriers in telesurgery by studying current team practices in robot-assisted surgery

    Get PDF
    This paper investigates challenges in current practices in robot-assisted surgery. In addition, by using the method of proxy technology assessment, we provide insights into the current barriers to wider application of robot-assisted telesurgery, where the surgeon and console are physically remote from the patient and operating team. Research in this field has focused on the financial and technological constraints that limit such application; less has been done to clarify the complex dynamics of an operating team that traditionally works in close symbiosis. Results suggest that there are implications for working practices in transitioning from traditional robot-assisted surgery to remote robotic surgery that need to be addressed, such as possible communication problems which might have a negative impact on patient outcomes

    Medical image computing and computer-aided medical interventions applied to soft tissues. Work in progress in urology

    Full text link
    Until recently, Computer-Aided Medical Interventions (CAMI) and Medical Robotics have focused on rigid and non deformable anatomical structures. Nowadays, special attention is paid to soft tissues, raising complex issues due to their mobility and deformation. Mini-invasive digestive surgery was probably one of the first fields where soft tissues were handled through the development of simulators, tracking of anatomical structures and specific assistance robots. However, other clinical domains, for instance urology, are concerned. Indeed, laparoscopic surgery, new tumour destruction techniques (e.g. HIFU, radiofrequency, or cryoablation), increasingly early detection of cancer, and use of interventional and diagnostic imaging modalities, recently opened new challenges to the urologist and scientists involved in CAMI. This resulted in the last five years in a very significant increase of research and developments of computer-aided urology systems. In this paper, we propose a description of the main problems related to computer-aided diagnostic and therapy of soft tissues and give a survey of the different types of assistance offered to the urologist: robotization, image fusion, surgical navigation. Both research projects and operational industrial systems are discussed

    Collaborative Gaze Channelling for Improved Cooperation During Robotic Assisted Surgery

    Get PDF
    The use of multiple robots for performing complex tasks is becoming a common practice for many robot applications. When different operators are involved, effective cooperation with anticipated manoeuvres is important for seamless, synergistic control of all the end-effectors. In this paper, the concept of Collaborative Gaze Channelling (CGC) is presented for improved control of surgical robots for a shared task. Through eye tracking, the fixations of each operator are monitored and presented in a shared surgical workspace. CGC permits remote or physically separated collaborators to share their intention by visualising the eye gaze of their counterparts, and thus recovers, to a certain extent, the information of mutual intent that we rely upon in a vis-à-vis working setting. In this study, the efficiency of surgical manipulation with and without CGC for controlling a pair of bimanual surgical robots is evaluated by analysing the level of coordination of two independent operators. Fitts' law is used to compare the quality of movement with or without CGC. A total of 40 subjects have been recruited for this study and the results show that the proposed CGC framework exhibits significant improvement (p<0.05) on all the motion indices used for quality assessment. This study demonstrates that visual guidance is an implicit yet effective way of communication during collaborative tasks for robotic surgery. Detailed experimental validation results demonstrate the potential clinical value of the proposed CGC framework. © 2012 Biomedical Engineering Society.link_to_subscribed_fulltex

    Robotic IVC Surgery

    Get PDF

    The Impact of Technology on Surgery: The Future Is Unwritten

    Get PDF

    Robotic Foregut Surgery

    Get PDF

    Is Robotic Surgery Appropriate for Vascular Procedures? Report of 100 Aortoiliac Cases

    Get PDF
    AbstractAimThe aim of our study was to evaluate our clinical experience of the da Vinci™ system for robot-assisted aortoiliac reconstructions to treat occlusive disease and aneurysm.Material and methodsBetween November 2005 and January 2008 100 consecutive patients were scheduled to undergo robot-assisted laparoscopic aortoiliac procedures. Patients with serious medical problems and those who had previously undergone major abdominal surgery were excluded from the clinical study. Ninety patients were prospectively evaluated for arterial occlusive disease (AOD), seven patients for abdominal aortic aneurysms (AAA), two for common iliac artery aneurysms (CIAA) and one for a combination of CIAA and AOD.ResultsNinety-seven of 100 procedures (97%) were successfully completed robotically, while conversions were necessary in three patients (3%). The median operating time was 235 minutes (range 150 to 360 minutes), with a median clamp-time of 42 minutes (range 25 to 120 minutes). The median anastomosis time was 29 minutes (range 12 to 60 minutes) and median blood loss was 430mL (range 50 to 1500mL). The median intensive care unit stay was 1.7 days and the median hospital stay was 5.1 days. A regular oral diet was resumed after a mean of 2.4 days. Thirty-day survival was 100% and non-lethal postoperative complications were observed in three patients (3%).ConclusionsRobotic aortoiliac surgery appears to be safe, with a high technical success rate, with operative times and success rates comparable to conventional open surgery. The creation of the aortoiliac anastomosis appears to be quicker, and more accurate than regular laparoscopic techniques

    Expanding the Utilization of Robotic Procedures in Urologic Surgery

    Full text link
    corecore