AIMC Topic: Clinical Competence

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Can Artificial Intelligence Pass the American Board of Orthopaedic Surgery Examination? Orthopaedic Residents Versus ChatGPT.

Clinical orthopaedics and related research
BACKGROUND: Advances in neural networks, deep learning, and artificial intelligence (AI) have progressed recently. Previous deep learning AI has been structured around domain-specific areas that are trained on dataset-specific areas of interest that ...

An Automated Skill Assessment Framework Based on Visual Motion Signals and a Deep Neural Network in Robot-Assisted Minimally Invasive Surgery.

Sensors (Basel, Switzerland)
Surgical skill assessment can quantify the quality of the surgical operation via the motion state of the surgical instrument tip (SIT), which is considered one of the effective primary means by which to improve the accuracy of surgical operation. Tra...

Development of a high fidelity, multidisciplinary, crisis simulation model for robotic surgical teams.

Journal of robotic surgery
Immediate access to the patient in crisis situations, such as cardiac arrest during robotic surgery, can be challenging. We aimed to present a full immersion simulation module to train robotic surgical teams to manage a crisis scenario, enhance teamw...

Video-based tools for surgical quality assessment of technical skills in laparoscopic procedures: a systematic review.

Surgical endoscopy
BACKGROUND: Quality of surgery has substantial impact on both short- and long-term clinical outcomes. This stresses the need for objective surgical quality assessment (SQA) for education, clinical practice and research purposes. The aim of this syste...

A systematic review of video-based educational interventions in robotic surgical training.

Journal of robotic surgery
As robotic surgical procedures become more prevalent in practice, there is a demand for effective and efficient educational strategies in robotic surgery. Video has been used in open and laparoscopic surgery to instruct trainees in the acquisition of...

Immersive training of clinical decision making with AI driven virtual patients - a new VR platform called medical tr.AI.ning.

GMS journal for medical education
BACKGROUND: Medical students need to be prepared for various situations in clinical decision-making that cannot be systematically trained with real patients without risking their health or integrity. To target system-related limitations of actor-base...

Current practises and the future of robotic surgical training.

The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland
INTRODUCTION: This study reviews the current state of robotic surgery training for surgeons, including the various curricula, training methods, and tools available, as well as the challenges and limitations of these.

Impact of educational video on performance in robotic simulation training (TAKUMI-1): a randomized controlled trial.

Journal of robotic surgery
The use of virtual reality for simulations plays an important role in the initial training for robotic surgery. This randomized controlled trial aimed to investigate the impact of educational video on the performance of robotic simulation. Participan...

Ratio of Economy of Motion: A New Objective Performance Indicator to Assign Consoles During Dual-Console Robotic Proctectomy.

The American surgeon
BACKGROUND: Our group investigates objective performance indicators (OPIs) to analyze robotic colorectal surgery. Analyses of OPI data are difficult in dual-console procedures (DCPs) as there is currently no reliable, efficient, or scalable technique...