Artificial intelligence in orthopedics: three strategies for deep learning with orthopedic specific imaging

Sunho Ko; Ayoosh Pareek; Du Hyun Ro; Yining Lu; Christopher L. Camp; R. Kyle Martin; Aaron J. Krych

doi:10.1007/s00167-021-06838-8

Artificial intelligence in orthopedics: three strategies for deep learning with orthopedic specific imaging

Sunho Ko, Ayoosh Pareek, Du Hyun Ro, Yining Lu, Christopher L. Camp, R. Kyle Martin, Aaron J. Krych

Orthopaedic Surgery

Research output: Contribution to journal › Editorial › peer-review

35 Scopus citations

Original language	English (US)
Pages (from-to)	758-761
Number of pages	4
Journal	Knee Surgery, Sports Traumatology, Arthroscopy
Volume	30
Issue number	3
DOIs	https://doi.org/10.1007/s00167-021-06838-8
State	Published - Mar 2022

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10.1007/s00167-021-06838-8

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title = "Artificial intelligence in orthopedics: three strategies for deep learning with orthopedic specific imaging",

author = "Sunho Ko and Ayoosh Pareek and Ro, \{Du Hyun\} and Yining Lu and Camp, \{Christopher L.\} and Martin, \{R. Kyle\} and Krych, \{Aaron J.\}",

year = "2022",

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T2 - three strategies for deep learning with orthopedic specific imaging

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AU - Ro, Du Hyun

AU - Lu, Yining

AU - Camp, Christopher L.

AU - Martin, R. Kyle

AU - Krych, Aaron J.

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AN - SCOPUS:85122794703

SN - 0942-2056

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SP - 758

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JO - Knee Surgery, Sports Traumatology, Arthroscopy

JF - Knee Surgery, Sports Traumatology, Arthroscopy

IS - 3

ER -

Artificial intelligence in orthopedics: three strategies for deep learning with orthopedic specific imaging

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