Publications by authors named "Justin W Collins"

Objective: To compare VR simulations with other training methods regarding improvements in objective assessment scores and task completion times.

Method: A database search was conducted on 20 May 2024 across Central, MEDLINE, EMBASE, Web of Science, and Scopus. Included were randomised controlled trials comparing VR simulations to other training methods, assessing objective scores and task times.

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Partial nephrectomy (PN) represents a procedure where the use of a robot has further enabled successful completion of this complex surgery. The results of this procedure using Versius Robotic Surgical System (VRSS) still need to be evaluated. Our working group described the technique and reported the initial results of a series of PN using VRSS.

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Telesurgery, a cutting-edge field at the intersection of medicine and technology, holds immense promise for enhancing surgical capabilities, extending medical care, and improving patient outcomes. In this scenario, this article explores the landscape of technical and ethical considerations that highlight the advancement and adoption of telesurgery. Network considerations are crucial for ensuring seamless and low-latency communication between remote surgeons and robotic systems, while technical challenges encompass system reliability, latency reduction, and the integration of emerging technologies like artificial intelligence and 5G networks.

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Background: There is a need to standardize training in robotic surgery, including objective assessment for accreditation. This systematic review aimed to identify objective tools for technical skills assessment, providing evaluation statuses to guide research and inform implementation into training curricula.

Methods: A systematic literature search was conducted in accordance with the PRISMA guidelines.

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Objective: To present the results of the first series of patients treated with robot-assisted radical prostatectomy (RARP) with the use of the Versius® Surgical System (CMR Surgical Ltd., Cambridge, UK). RARP has demonstrated better perioperative outcomes compared to open RP.

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Background: When introducing new equipment like robotic surgical systems, it is essential to ensure that surgeons have the basic skills before operating on patients. The objective was to investigate the validity evidence for a competency-based test for basic robotic surgical skills using the Versius® trainer.

Methods: We recruited medical students, residents, and surgeons which were classified based on data on clinical experience with the Versius system as either novices (0 min), intermediates (1-1000 min), or experienced (> 1000 min).

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Purpose: To create a suturing skills assessment tool that comprehensively defines criteria around relevant sub-skills of suturing and to confirm its validity.

Materials And Methods: 5 expert surgeons and an educational psychologist participated in a cognitive task analysis (CTA) to deconstruct robotic suturing into an exhaustive list of technical skill domains and sub-skill descriptions. Using the Delphi methodology, each CTA element was systematically reviewed by a multi-institutional panel of 16 surgical educators and implemented in the final product when content validity index (CVI) reached ≥0.

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Robot-assisted surgery (RAS) continues to grow globally. Despite this, in the UK and Ireland, it is estimated that over 70% of surgical trainees across all specialities have no access to robot-assisted surgical training (RAST). This study aimed to provide educational stakeholders guidance on a pre-procedural core robotic surgery curriculum (PPCRC) from the perspective of the end user; the surgical trainee.

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Background: Advances in machine learning and robotics have allowed the development of increasingly autonomous robotic systems which are able to make decisions and learn from experience. This distribution of decision-making away from human supervision poses a legal challenge for determining liability.

Methods: The iRobotSurgeon survey aimed to explore public opinion towards the issue of liability with robotic surgical systems.

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The use of digital technology is increasing rapidly across surgical specialities, yet there is no consensus for the term 'digital surgery'. This is critical as digital health technologies present technical, governance, and legal challenges which are unique to the surgeon and surgical patient. We aim to define the term digital surgery and the ethical issues surrounding its clinical application, and to identify barriers and research goals for future practice.

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Background: Artificial intelligence (AI) methods and AI-enabled metrics hold tremendous potential to advance surgical education. Our objective was to generate consensus guidance on specific needs for AI methods and AI-enabled metrics for surgical education.

Study Design: The study included a systematic literature search, a virtual conference, and a 3-round Delphi survey of 40 representative multidisciplinary stakeholders with domain expertise selected through purposeful sampling.

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Objective: This study evaluated the efficacy of virtual classroom training (VCT) in comparison to face-to-face training (FFT) and non-interactive computer-based learning (CBL) for basic surgical skills training.

Design: This was a parallel-group, non-inferiority, prospective randomised controlled trial with three intervention groups conducted in 2021. There were three intervention groups with allocation ratio 1:1:1.

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Background: Structured training protocols can safely improve skills prior initiating complex surgical procedures such as robotic-assisted minimally invasive esophagectomy (RAMIE). As no consensus on a training curriculum for RAMIE has been established so far it is our aim to define a protocol for RAMIE with the Delphi consensus methodology.

Methods: Fourteen worldwide RAMIE experts were defined and were enrolled in this Delphi consensus project.

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Context: The role of robot-assisted surgery continues to expand at a time when trainers and proctors have travel restrictions during the coronavirus disease 2019 (COVID-19) pandemic.

Objective: To provide guidance on setting up and running an optimised telementoring service that can be integrated into current validated curricula. We define a standardised approach to training candidates in skill acquisition via telepresence technologies.

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Article Synopsis
  • Surgical workflow analysis helps break down surgical operations for better education and understanding, especially in endoscopic transsphenoidal approaches to pituitary adenomas.
  • A consensus was built through literature reviews and surveys involving international experts, achieving 100% agreement on an extensive workflow consisting of 4 phases and 40 steps.
  • This finalized workflow not only establishes core practices for training and assessment but also identifies variations that need further research, enhancing its global applicability.
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Context: As the role of AI in healthcare continues to expand there is increasing awareness of the potential pitfalls of AI and the need for guidance to avoid them.

Objectives: To provide ethical guidance on developing narrow AI applications for surgical training curricula. We define standardised approaches to developing AI driven applications in surgical training that address current recognised ethical implications of utilising AI on surgical data.

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Robot-assisted radical cystectomy (RARC) continues to expand, and several surgeons start training for this complex procedure. This calls for the development of a structured training program, with the aim to improve patient safety during RARC learning curve. A modified Delphi consensus process was started to develop the curriculum structure.

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Objective: To develop and seek consensus from procedure experts on the metrics that best characterise a reference robot-assisted radical prostatectomy (RARP) and determine if the metrics distinguished between the objectively assessed RARP performance of experienced and novice urologists, as identifying objective performance metrics for surgical training in robotic surgery is imperative for patient safety.

Materials And Methods: In Study 1, the metrics, i.e.

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Objective: To define criteria for robotic credentialing using expert consensus.

Background: A recent review of institutional robotic credentialing policies identified significant variability and determined current policies are largely inadequate to ensure surgeon proficiency and may threaten patient safety.

Methods: Twenty-eight national robotic surgery experts were invited to participate in a consensus conference.

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Introduction: Robot-assisted surgery is becoming increasingly adopted by multiple surgical specialties. There is evidence of inherent risks of utilising new technologies that are unfamiliar early in the learning curve. The development of standardised and validated training programmes is crucial to deliver safe introduction.

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Background: Full-procedure virtual reality (VR) simulator training in robotic-assisted radical prostatectomy (RARP) is a new tool in surgical education.

Methods: Description of the development of a VR RARP simulation model, (RobotiX-Mentor®) including non-guided bladder neck (ngBND) and neurovascular bundle dissection (ngNVBD) modules, and assessment of face, content, and construct validation of the ngBND and ngNVBD modules by robotic surgeons with different experience levels.

Results: Simulator and ngBND/ngNVBD modules were rated highly by all surgeons for realism and usability as training tool.

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Purpose: Enhanced recovery after surgery (ERAS) protocols have been implemented across a variety of disciplines to improve outcomes. Herein we describe the impact of ERAS on quality of life (QOL) and cost for patients undergoing urologic oncology surgery.

Methods: A systematic literature search using the MEDLINE, Scopus, Clinictrials.

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Context: Enhanced Recovery After Surgery (ERAS) is a perioperative approach to managing surgical patients. The impact of ERAS on radical cystectomy (RC) outcomes remains understudied.

Objective: To review the literature regarding ERAS protocols and RC outcomes.

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