The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force.

TitleThe current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force.
Publication TypeJournal Article
Year of Publication2024
AuthorsKim D, Thrall MJ, Michelow P, Schmitt FC, Vielh PR, Siddiqui MT, Sundling KE, Virk R, Alperstein S, Bui MM, Chen-Yost H, Donnelly AD, Lin O, Liu X, Madrigal E, Zakowski MF, Parwani AV, Jenkins E, Pantanowitz L, Li Z
JournalJ Am Soc Cytopathol
Volume13
Issue5
Pagination319-328
Date Published2024 Sep-Oct
ISSN2213-2945
KeywordsAdvisory Committees, Artificial Intelligence, Cytodiagnosis, Humans, Image Interpretation, Computer-Assisted, Pathology, Surgical, Societies, Medical, Surveys and Questionnaires, United States
Abstract

INTRODUCTION: The integration of whole slide imaging (WSI) and artificial intelligence (AI) with digital cytology has been growing gradually. Therefore, there is a need to evaluate the current state of digital cytology. This study aimed to determine the current landscape of digital cytology via a survey conducted as part of the American Society of Cytopathology (ASC) Digital Cytology White Paper Task Force.

MATERIALS AND METHODS: A survey with 43 questions pertaining to the current practices and experiences of WSI and AI in both surgical pathology and cytology was created. The survey was sent to members of the ASC, the International Academy of Cytology (IAC), and the Papanicolaou Society of Cytopathology (PSC). Responses were recorded and analyzed.

RESULTS: In total, 327 individuals participated in the survey, spanning a diverse array of practice settings, roles, and experiences around the globe. The majority of responses indicated there was routine scanning of surgical pathology slides (n = 134; 61%) with fewer respondents scanning cytology slides (n = 150; 46%). The primary challenge for surgical WSI is the need for faster scanning and cost minimization, whereas image quality is the top issue for cytology WSI. AI tools are not widely utilized, with only 16% of participants using AI for surgical pathology samples and 13% for cytology practice.

CONCLUSIONS: Utilization of digital pathology is limited in cytology laboratories as compared to surgical pathology. However, as more laboratories are willing to implement digital cytology in the near future, the establishment of practical clinical guidelines is needed.

DOI10.1016/j.jasc.2024.04.003
Alternate JournalJ Am Soc Cytopathol
PubMed ID38744615
Related Faculty: 
Momin Siddiqui, M.D.

Pathology & Laboratory Medicine 1300 York Avenue New York, NY 10065 Phone: (212) 746-6464
Surgical Pathology: (212) 746-2700