Ethical implications of AI in robotic surgical training: A Delphi consensus statement
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Title
Ethical implications of AI in robotic surgical training: A Delphi consensus statement
Authors
Keywords
Artificial intelligence, machine learning, narrow AI, GDPR, data protection, privacy, transparency, predictive analytics, biases, training, curriculum development, surgical education, Deep learning, Computer vision, Natural language processing, Learning algorithms, risk prediction
Journal
European Urology Focus
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2021-05-01
DOI
10.1016/j.euf.2021.04.006
References
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Note: Only part of the references are listed.- Robotische Chirurgie in der Urologie
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- Is It Time for Safeguards in the Adoption of Robotic Surgery?
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- Computer Vision Analysis of Intraoperative Video
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- Artificial Intelligence in Surgery
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- Use of Automated Performance Metrics to Measure Surgeon Performance during Robotic Vesicourethral Anastomosis and Methodical Development of a Training Tutorial
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- Implementing Machine Learning in Health Care — Addressing Ethical Challenges
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- (2018) Andrew J. Hung et al. JAMA Surgery
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- (2018) Jianxing He et al. NATURE MEDICINE
- Collecting patient-reported outcome measures
- (2017) Susannah Ahern et al. INTERNAL MEDICINE JOURNAL
- 30 Years of Robotic Surgery
- (2016) Tiago Leal Ghezzi et al. WORLD JOURNAL OF SURGERY
- Robotic networks: delivering empowerment through integration
- (2015) Justin Collins et al. BJU INTERNATIONAL
- Eye tracking for skills assessment and training: a systematic review
- (2014) Tony Tien et al. JOURNAL OF SURGICAL RESEARCH
- Diffusion of Surgical Innovations, Patient Safety, and Minimally Invasive Radical Prostatectomy
- (2014) J. Kellogg Parsons et al. JAMA Surgery
- Surgical Vision
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- (2009) David Moher et al. PLOS MEDICINE
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