Surveying the Digital Cytology Workflow in Italy: An Initial Report on AI Integration Across Key Professional Roles
Addressing barriers such as resistance, cost, and trust is essential for the successful integration of AI in digital cytology workflows. Tailored training programs and ongoing professional support can enhance AI adoption, ultimately optimizing diagnostic processes and improving clinical outcomes.
Authors
- Elisabetta Carico (ORCID: https://orcid.org/0000-0002-5486-3202)
- Enrico Giarnieri (ORCID: https://orcid.org/0000-0002-2046-5505)
- Daniele Giansanti (ORCID: https://orcid.org/0000-0002-8904-0847)
- Andrea Lastrucci (ORCID: https://orcid.org/0000-0002-3600-9213)
Institutions
- Istituto Superiore di Sanità (IT)
- Azienda Ospedaliero-Universitaria Careggi (IT)
- Azienda Ospedaliera Sant'Andrea (IT)
Publication Details
- Journal
- Healthcare
- Published
- 2025-04-14
- DOI
- https://doi.org/10.3390/healthcare13080903
- Citations
- 2
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 4.96