Artificial Intelligence in Surgical Education and Training
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-15-3344-0_133
Reference16 articles.
1. Alemzadeh H, Raman J, Leveson N, Kalbarczyk Z, Iyer RK. Adverse events in robotic surgery: a retrospective study of 14 years of FDA data. PLoS One. 2016;11(4):e0151470.
2. Arora VM. Harnessing the power of big data to improve graduate medical education: big idea or bust? Acad Med. 2018;93(6):833–4.
3. Hamilton JG, Genoff Garzon M, Westerman JS, Shuk E, Hay JL, Walters C, et al. “A tool, not a crutch”: patient perspectives about IBM Watson for oncology trained by Memorial Sloan Kettering. J Oncol Pract. 2019;15(4):e277–e88.
4. Hashimoto DA, Rosman G, Rus D, Meireles OR. Artificial intelligence in surgery: promises and perils. Ann Surg. 2018;268(1):70–6.
5. Hodges BD. Learning from Dorothy Vaughan: artificial intelligence and the health professions. Med Educ. 2018;52(1):11–3.
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