Assessing the response quality and readability of chatbots in cardiovascular health, oncology, and psoriasis: A comparative study.

Journal: International journal of medical informatics
PMID: 39059084

Abstract

BACKGROUND: Chatbots using the Large Language Model (LLM) generate human responses to questions from all categories. Due to staff shortages in healthcare systems, patients waiting for an appointment increasingly use chatbots to get information about their condition. Given the number of chatbots currently available, assessing the responses they generate is essential.

Authors

  • Robert Olszewski
    Gerontology, Public Health and Education Department, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland; Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences. Electronic address: robert.olszewski@spartanska.pl.
  • Klaudia Watros
    Gerontology, Public Health and Education Department, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland. Electronic address: klaudia.watros@spartanska.pl.
  • Małgorzata Mańczak
    Gerontology, Public Health and Education Department, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland. Electronic address: m.manczak@op.pl.
  • Jakub Owoc
    Gerontology, Public Health and Education Department, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland. Electronic address: kowoc@wp.pl.
  • Krzysztof Jeziorski
    Gerontology, Public Health and Education Department, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland; Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland. Electronic address: krzysztof.jeziorski@spartanska.pl.
  • Jakub Brzeziński
    Gerontology, Public Health and Education Department, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland. Electronic address: jakub.brzezinski@spartanska.pl.

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