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Digital cytology part 1: digital cytology implementation for practice: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force.
Kim, David; Sundling, Kaitlin E; Virk, Renu; Thrall, Michael J; Alperstein, Susan; Bui, Marilyn M; Chen-Yost, Heather; Donnelly, Amber D; Lin, Oscar; Liu, Xiaoying; Madrigal, Emilio; Michelow, Pamela; Schmitt, Fernando C; Vielh, Philippe R; Zakowski, Maureen F; Parwani, Anil V; Jenkins, Elizabeth; Siddiqui, Momin T; Pantanowitz, Liron; Li, Zaibo.
Afiliação
  • Kim D; Department of Pathology & Laboratory Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York.
  • Sundling KE; The Wisconsin State Laboratory of Hygiene and Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin.
  • Virk R; Department of Pathology and Cell Biology, Columbia University, New York, New York.
  • Thrall MJ; Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas.
  • Alperstein S; Department of Pathology and Laboratory Medicine, New York Presbyterian-Weill Cornell Medicine, New York, New York.
  • Bui MM; The Department of Pathology, Moffitt Cancer Center & Research Institute, Tampa, Florida.
  • Chen-Yost H; Department of Pathology, Michigan Medicine, Ann Arbor, Michigan.
  • Donnelly AD; Diagnostic Cytology Education, University of Nebraska Medical Center, College of Allied Health Professions, Omaha, Nebraska.
  • Lin O; Department of Pathology & Laboratory Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York.
  • Liu X; Department of Pathology and Laboratory Medicine, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire.
  • Madrigal E; Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
  • Michelow P; Division of Anatomical Pathology, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa; Department of Pathology, National Health Laboratory Services, Johannesburg, South Africa.
  • Schmitt FC; Department of Pathology, Medical Faculty of Porto University, Porto, Portugal.
  • Vielh PR; Department of Pathology, Medipath and American Hospital of Paris, Paris, France.
  • Zakowski MF; Department of Pathology, Mount Sinai Medical Center, New York, New York.
  • Parwani AV; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, Ohio.
  • Jenkins E; American Society of Cytopathology, Wilmington, Delaware.
  • Siddiqui MT; Department of Pathology and Laboratory Medicine, New York Presbyterian-Weill Cornell Medicine, New York, New York.
  • Pantanowitz L; Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania. Electronic address: pantanowitzl2@upmc.edu.
  • Li Z; Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, Ohio. Electronic address: Zaibo.Li@osumc.edu.
J Am Soc Cytopathol ; 13(2): 86-96, 2024.
Article em En | MEDLINE | ID: mdl-38158316
ABSTRACT
Digital cytology and artificial intelligence (AI) are gaining greater adoption in the cytopathology laboratory. However, peer-reviewed real-world data and literature are lacking regarding the current clinical landscape. The American Society of Cytopathology in conjunction with the International Academy of Cytology and the Digital Pathology Association established a special task force comprising 20 members with expertise and/or interest in digital cytology. The aim of the group was to investigate the feasibility of incorporating digital cytology, specifically cytology whole slide scanning and AI applications, into the workflow of the laboratory. In turn, the impact on cytopathologists, cytologists (cytotechnologists), and cytology departments were also assessed. The task force reviewed existing literature on digital cytology, conducted a worldwide survey, and held a virtual roundtable discussion on digital cytology and AI with multiple industry corporate representatives. This white paper, presented in 2 parts, summarizes the current state of digital cytology and AI practice in global cytology practice. Part 1 of the white paper presented herein is a review and offers best practice recommendations for incorporating digital cytology into practice. Part 2 of the white paper provides a comprehensive review of AI in cytology practice along with best practice recommendations and legal considerations. Additionally, the results of a global survey regarding digital cytology are highlighted.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Citodiagnóstico Limite: Humans Idioma: En Revista: J Am Soc Cytopathol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Citodiagnóstico Limite: Humans Idioma: En Revista: J Am Soc Cytopathol Ano de publicação: 2024 Tipo de documento: Article