Being diagnosed with a rhabdomyosarcoma in the era of artificial intelligence: Whom can we trust?

Author:

Clerici Carlo Alfredo12ORCID,Bernasconi Alice3ORCID,Lasalvia Paolo3ORCID,Bisogno Gianni45ORCID,Milano Giuseppe Maria6ORCID,Trama Annalisa3ORCID,Chiaravalli Stefano1ORCID,Bergamaschi Luca1ORCID,Casanova Michela1ORCID,Massimino Maura1ORCID,Ferrari Andrea12ORCID

Affiliation:

1. Pediatric Oncology Unit Fondazione IRCCS Istituto Nazionale Tumori Milan Italy

2. Department of Oncology and Hemato‐oncology University of Milan Milan Italy

3. Evaluative Epidemiology Unit, Department of Epidemiology and Data Science Fondazione IRCCS Istituto Nazionale dei Tumori Milan Italy

4. Hematology Oncology Division University of Padua Padua Italy

5. Department of Women's and Children's Health University of Padua Padua Italy

6. Hematology/Oncology Ospedale Pediatrico Bambino Gesù IRCCS Rome Italy

Abstract

AbstractIn the era of big data, young patients may be overwhelmed by artificial intelligence‐based tools, like chatbots. Five clinical experts were asked to evaluate the performance of the most currently used chatbots in providing information on a rare cancer affecting young people, like rhabdomyosarcoma. Generally speaking, despite their high performance in giving general information about the disease, these chatbots were considered by the experts to be inadequate in providing suggestions on cancer treatments and specialized centers, and also lacking in “sensitivity.” Efforts are planned by the pediatric oncology community to improve the quality of data used to train these tools.

Publisher

Wiley

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