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Endoscopic surgical field clarity index: An artificial intelligence-based measure of transnasal endoscopic surgical field quality.
Poche, John N; Hernandez, Stephen C; Melder, Katie L; Dunham, Michael E; Nuss, Daniel W; Fang, Zhide.
Afiliação
  • Poche JN; Department of Otolaryngology-Head and Neck Surgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
  • Hernandez SC; Department of Otolaryngology-Head and Neck Surgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
  • Melder KL; Department of Otolaryngology-Head and Neck Surgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
  • Dunham ME; Department of Otolaryngology-Head and Neck Surgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
  • Nuss DW; Department of Otolaryngology-Head and Neck Surgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
  • Fang Z; Biostatistics Program, School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA.
Int Forum Allergy Rhinol ; 14(9): 1501-1504, 2024 Sep.
Article em En | MEDLINE | ID: mdl-38648256
ABSTRACT
KEY POINTS Clear visualization during transnasal endoscopic surgery (TNES) is crucial for safe, efficient surgery. The endoscopic surgical field clarity index (ESFCI) is an artificial intelligence-enabled measure of surgical field quality. The ESFCI allows researchers to evaluate interventions to improve visualization during TNES.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial Idioma: En Ano de publicação: 2024 Tipo de documento: Article