Developing a Google Forms online form to obtain pathologist's opinions on cytological criteria previously defined in a set of cropped images

During the COVID-19 pandemic, Hospital Metropolitano (San Nicolás de los Garza, México) was repurposed as a COVID center, limiting access to conventional telepathology tools. This poster describes the development of a Google Forms-based online questionnaire to collect pathologists' opinions on cytological criteria evaluated from sets of cropped microphotography images (10x, 20x, and 40x objectives). Ten pathologists were contacted; seven completed the form. Results showed that cropped images interfered with evaluation comfort, and that forms with more than five image-accompanied items caused loading delays on smartphones. The study concludes that Google Forms is a viable low-resource telepathology alternative, but questionnaire and image design must be tailored to users' device and bandwidth constraints.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-27
DOI
https://doi.org/10.5281/zenodo.19210885
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
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article

Developing a Google Forms online form to obtain pathologist's opinions on cytological criteria previously defined in a set of cropped images

Zenodo (CERN European Organization for Nuclear Research)
AI in cancer detection
article

Developing a Google Forms online form to obtain pathologist's opinions on cytological criteria previously defined in a set of cropped images

article en

Abstract

During the COVID-19 pandemic, Hospital Metropolitano (San Nicolás de los Garza, México) was repurposed as a COVID center, limiting access to conventional telepathology tools. This poster describes the development of a Google Forms-based online questionnaire to collect pathologists' opinions on cytological criteria evaluated from sets of cropped microphotography images (10x, 20x, and 40x objectives). Ten pathologists were contacted; seven completed the form. Results showed that cropped images interfered with evaluation comfort, and that forms with more than five image-accompanied items caused loading delays on smartphones. The study concludes that Google Forms is a viable low-resource telepathology alternative, but questionnaire and image design must be tailored to users' device and bandwidth constraints.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 40%
AI in cancer detection
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