Cross-Sectional Study on Medical Attitude Towards Artificial Intelligence Use in Fibromyalgia: Insights From the Annual Thinking Lab on Fibromyalgia Syndrome (ATLAS 2024)
Despite a generally positive shift in perception following the congress, many doctors still feel unprepared and lack the necessary knowledge to effectively utilize AI tools. These results underscore the importance of targeted training and support to implement research and facilitate the integration of AI tools in FM and other clinical settings.
Authors
- Marco Cascella (ORCID: https://orcid.org/0000-0002-5236-3132)
- Valentina Cerrone (ORCID: https://orcid.org/0009-0006-5657-6959)
- Sonia Farah (ORCID: https://orcid.org/0000-0002-9815-2621)
- Piercarlo Sarzi‐Puttini (ORCID: https://orcid.org/0000-0002-8673-5133)
- Fausto Salaffi (ORCID: https://orcid.org/0000-0002-3794-6831)
- Cosimo Guerra
- Rosario De Feo
Institutions
- Marche Polytechnic University (IT)
Publication Details
- Journal
- Translational Medicine UniSa
- Published
- 2024-12-04
- DOI
- https://doi.org/10.37825/2239-9747.1066
- Citations
- 4
- Primary Topic
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Type
- article
- Field-Weighted Citation Impact
- 1.54