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Bringing Artificial Intelligence to the operating room: edge computing for real-time surgical phase recognition.
Choksi, Sarah; Szot, Skyler; Zang, Chengbo; Yarali, Kaan; Cao, Yuqing; Ahmad, Feroz; Xiang, Zixuan; Bitner, Daniel P; Kostic, Zoran; Filicori, Filippo.
Afiliación
  • Choksi S; Intraoperative Performance Analytics Laboratory (IPAL), Department of Surgery, Lenox Hill Hospital, Northwell Health, 186 E 76th Street, 1st Fl, New York, NY, 10021, USA. Schoksi1@northwell.edu.
  • Szot S; Department of Electrical Engineering, Columbia University, 500 W 120 Street, Mudd 1310, New York, NY, 10027, USA.
  • Zang C; Department of Electrical Engineering, Columbia University, 500 W 120 Street, Mudd 1310, New York, NY, 10027, USA.
  • Yarali K; Department of Electrical Engineering, Columbia University, 500 W 120 Street, Mudd 1310, New York, NY, 10027, USA.
  • Cao Y; Department of Electrical Engineering, Columbia University, 500 W 120 Street, Mudd 1310, New York, NY, 10027, USA.
  • Ahmad F; Department of Electrical Engineering, Columbia University, 500 W 120 Street, Mudd 1310, New York, NY, 10027, USA.
  • Xiang Z; Department of Electrical Engineering, Columbia University, 500 W 120 Street, Mudd 1310, New York, NY, 10027, USA.
  • Bitner DP; Intraoperative Performance Analytics Laboratory (IPAL), Department of Surgery, Lenox Hill Hospital, Northwell Health, 186 E 76th Street, 1st Fl, New York, NY, 10021, USA.
  • Kostic Z; Department of Electrical Engineering, Columbia University, 500 W 120 Street, Mudd 1310, New York, NY, 10027, USA.
  • Filicori F; Intraoperative Performance Analytics Laboratory (IPAL), Department of Surgery, Lenox Hill Hospital, Northwell Health, 186 E 76th Street, 1st Fl, New York, NY, 10021, USA.
Surg Endosc ; 37(11): 8778-8784, 2023 11.
Article en En | MEDLINE | ID: mdl-37580578
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Hernia Inguinal Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Surg Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Hernia Inguinal Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Surg Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania