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Artificial intelligence for predicting hearing improvement after myringoplasty: a pilot study.
Chua, Kenneth Wei De; Jiang, Qian Feng; Koh, Hui Juan; Ho, Felice Xin Yi; Yeo, Hazel; Lee, Gordon; Low, David; Chung, Conrad; Kamath, Savitha; Cheung, Ngai-Man; Khoo, Xiaojuan; Ong, Kian Eng; Yuen, Heng Wai.
Affiliation
  • Chua KW; Department of Otorhinolaryngology-Head and Neck Surgery, Changi General Hospital, Singapore.
  • Jiang QF; Department of Information Systems Technology and Design, Singapore University of Technology and Design, Singapore.
  • Koh HJ; Department of Information Systems Technology and Design, Singapore University of Technology and Design, Singapore.
  • Ho FXY; Department of Information Systems Technology and Design, Singapore University of Technology and Design, Singapore.
  • Yeo H; Department of Otorhinolaryngology-Head and Neck Surgery, Changi General Hospital, Singapore.
  • Lee G; Department of Otorhinolaryngology-Head and Neck Surgery, Changi General Hospital, Singapore.
  • Low D; Department of Otorhinolaryngology-Head and Neck Surgery, Changi General Hospital, Singapore.
  • Chung C; Department of Otorhinolaryngology-Head and Neck Surgery, Changi General Hospital, Singapore.
  • Kamath S; Department of Otorhinolaryngology-Head and Neck Surgery, Changi General Hospital, Singapore.
  • Cheung NM; Department of Information Systems Technology and Design, Singapore University of Technology and Design, Singapore.
  • Khoo X; Department of Information Systems Technology and Design, Singapore University of Technology and Design, Singapore.
  • Ong KE; Department of Information Systems Technology and Design, Singapore University of Technology and Design, Singapore.
  • Yuen HW; Department of Otorhinolaryngology-Head and Neck Surgery, Changi General Hospital, Singapore.
Singapore Med J ; 2023 Jul 20.
Article in En | MEDLINE | ID: mdl-37530381

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Singapore Med J Year: 2023 Document type: Article Affiliation country: Singapur

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Singapore Med J Year: 2023 Document type: Article Affiliation country: Singapur