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Semantic Scholar Open Access 2021 68 sitasi

Surgical data science and artificial intelligence for surgical education

Thomas M. Ward P. Mascagni A. Madani N. Padoy S. Perretta +1 lainnya
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Abstrak

Surgical data science (SDS) aims to improve the quality of interventional healthcare and its value through the capture, organization, analysis, and modeling of procedural data. As data capture has increased and artificial intelligence (AI) has advanced, SDS can help to unlock augmented and automated coaching, feedback, assessment, and decision support in surgery. We review major concepts in SDS and AI as applied to surgical education and surgical oncology.

Topik & Kata Kunci

Medicine

Penulis (6)

T

Thomas M. Ward

P

P. Mascagni

A

A. Madani

N

N. Padoy

S

S. Perretta

D

D. Hashimoto

Format Sitasi

APA MLA BibTeX
Ward, T.M., Mascagni, P., Madani, A., Padoy, N., Perretta, S., Hashimoto, D. (2021). Surgical data science and artificial intelligence for surgical education. https://doi.org/10.1002/jso.26496

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Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
68×
Sumber Database
Semantic Scholar
DOI
10.1002/jso.26496
Akses
Open Access ✓