Analysis of operative data with convolutional neural networks (CNNs) is expected to improve the knowledge and professional skills of surgeons. Identification of objects in videos recorded during surgery can be used for surgical skill assessment and s...
BACKGROUND: The initial phases of robotic surgical skills acquisition are associated with poor technical performance, such as low knot-tensile strength (KTS). Transcranial direct-current stimulation (tDCS) can improve force and accuracy in motor task...
BACKGROUND: Robotic-assisted surgery is increasing and there is a need for a structured and evidence-based curriculum to learn basic robotic competencies. Relevant training tasks, eligible trainees, realistic learning goals, and suitable training met...
International journal of surgery (London, England)
Sep 29, 2021
The exponential increase in the volume and complexity of healthcare data presents new challenges to researchers and clinicians in analysis and interpretation. The requirement for new strategies to extract meaningful information from large, noisy data...
OBJECTIVE: To automate surgeon skills evaluation using robotic instrument kinematic data. Additionally, to implement an unsupervised mislabeling detection algorithm to identify potentially mislabeled samples that can be removed to improve model perfo...
The international journal of medical robotics + computer assisted surgery : MRCAS
Jun 7, 2021
BACKGROUND: The development of technical dexterity is a critical for surgeons in training. This study describes and assesses the feasibility of an objective method for the evaluation of procedure-specific technical dexterity in hepatopancreatobiliary...
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