AIMC Topic: Simulation Training
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The effects of different levels of realism on the training of CNNs with only synthetic images for the semantic segmentation of robotic instruments in a head phantom.
International journal of computer assisted radiology and surgery
May 22, 2020
PURPOSE: The manual generation of training data for the semantic segmentation of medical images using deep neural networks is a time-consuming and error-prone task. In this paper, we investigate the effect of different levels of realism on the traini...
Roadmap for Developing Complex Virtual Reality Simulation Scenarios: Subpial Neurosurgical Tumor Resection Model.
World neurosurgery
Apr 11, 2020
BACKGROUND: Advancement and evolution of current virtual reality (VR) surgical simulation technologies are integral to improve the available armamentarium of surgical skill education. This is especially important in high-risk surgical specialties. Su...
Robotic simulation experience in undergraduate medical education: a perspective.
Journal of robotic surgery
Mar 3, 2020
Robotic surgery has been one of the most revolutionary advancements in surgery, and demand is anticipated to grow. The performance of robotic surgery has seen an exponential increase in recent years. This is largely due to the benefits offered by rob...
The Virtual Operative Assistant: An explainable artificial intelligence tool for simulation-based training in surgery and medicine.
PloS one
Feb 27, 2020
Simulation-based training is increasingly being used for assessment and training of psychomotor skills involved in medicine. The application of artificial intelligence and machine learning technologies has provided new methodologies to utilize large ...
Machine Learning Identification of Surgical and Operative Factors Associated With Surgical Expertise in Virtual Reality Simulation.
JAMA network open
Aug 2, 2019
IMPORTANCE: Despite advances in the assessment of technical skills in surgery, a clear understanding of the composites of technical expertise is lacking. Surgical simulation allows for the quantitation of psychomotor skills, generating data sets that...
Artificial intelligence for precision education in radiology.
The British journal of radiology
Jul 26, 2019
In the era of personalized medicine, the emphasis of health care is shifting from populations to individuals. Artificial intelligence (AI) is capable of learning without explicit instruction and has emerging applications in medicine, particularly rad...
Artificial Intelligence in Medical Education: Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation.
Journal of surgical education
Jun 13, 2019
OBJECTIVE: Virtual reality simulators track all movements and forces of simulated instruments, generating enormous datasets which can be further analyzed with machine learning algorithms. These advancements may increase the understanding, assessment ...
Development and Validation of a Bayesian Network Method to Detect External Beam Radiation Therapy Physician Order Errors.
International journal of radiation oncology, biology, physics
May 31, 2019
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radiation therapy physician orders.
ROC Curve
Bayes Theorem
Radiologists
Technology, Radiologic
Radiotherapy Planning, Computer-Assisted
Simulation Training
Algorithms
Medical Errors
Neoplasms
Humans
Radiotherapy Setup Errors
Cohort Studies
Neural Networks, Computer
Radiotherapy Dosage
Datasets as Topic
Organ Specificity
False Negative Reactions
Dose Fractionation, Radiation
False Positive Reactions
Radiotherapy, Image-Guided
MCRDR Knowledge-Based 3D Dialogue Simulation in Clinical Training and Assessment.
Journal of medical systems
May 23, 2019
Dialogue-based simulation is a real-world practice technique for medical and clinical education that provides students with an opportunity to train using hands-on experiences without putting actual patients being put at risk. In this paper, a 3D inte...
DrKnow: A Diagnostic Learning Tool with Feedback from Automated Clinical Decision Support.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Providing medical trainees with effective feedback is critical to the successful development of their diagnostic reasoning skills. We present the design of DrKnow, a web-based learning application that utilises a clinical decision support system (CDS...
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