Litcius/Paper detail

Use of artificial intelligence to identify data elements for The Japanese Orthopaedic Association National Registry from operative records

Kosuke Kita, Keisuke Uemura, Masaki Takao, Takahito Fujimori, Kazunori Tamura, N. Nakamura, Gen Wakabayashi, Hiroyuki Kurakami, Yuki Suzuki, Tomohiro Wataya, Daiki Nishigaki, Seiji Okada, Noriyuki Tomiyama, Shoji Kido

2022Journal of Orthopaedic Science16 citationsDOI

Topics & Concepts

Artificial intelligenceComputer scienceMachine learningMedical recordTask (project management)ArthroplastyMedicineNatural language processingData miningSurgeryEngineeringSystems engineeringArtificial Intelligence in Healthcare and EducationDigital Imaging in MedicineDental Radiography and Imaging
Use of artificial intelligence to identify data elements for The Japanese Orthopaedic Association National Registry from operative records | Litcius