Being diagnosed with a rhabdomyosarcoma in the era of artificial intelligence: Whom can we trust?
In 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.
Authors
- Michela Casanova (ORCID: https://orcid.org/0000-0003-0368-7883)
- Luca Bergamaschi (ORCID: https://orcid.org/0000-0003-2149-329X)
- Carlo Alfredo Clerici (ORCID: https://orcid.org/0000-0002-4289-057X)
- Annalisa Trama (ORCID: https://orcid.org/0000-0001-8220-9833)
- Stefano Chiaravalli (ORCID: https://orcid.org/0000-0002-3044-6578)
- Alice Bernasconi (ORCID: https://orcid.org/0000-0001-8522-6882)
- Giuseppe Maria Milano (ORCID: https://orcid.org/0000-0002-0250-6043)
- Gianni Bisogno (ORCID: https://orcid.org/0000-0003-4462-5523)
- Paolo Lasalvia (ORCID: https://orcid.org/0000-0002-4264-220X)
- Maura Massimino (ORCID: https://orcid.org/0000-0002-5506-2001)
- Andrea C. Ferrari (ORCID: https://orcid.org/0000-0002-4724-0517)
Institutions
- University of Padua (IT)
- University of Milan (IT)
- Bambino Gesù Children's Hospital (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Fondazione IRCCS Istituto Nazionale dei Tumori (IT)
Publication Details
- Journal
- Pediatric Blood & Cancer
- Published
- 2024-08-11
- DOI
- https://doi.org/10.1002/pbc.31256
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.48