Artificial intelligence system for EUS navigation and anatomical landmark recognition
The AI EUS DCNN-based system is able to correctly identify EUS anatomical landmarks. In the near future, this system might play an important role in EUS training and quality control. In addition, many other features might progressively be added, with the next ideal step being the identification of pathologic alterations.
Authors
- Cristiano Spada (ORCID: https://orcid.org/0000-0002-5692-0960)
- Sara Sofia De Lucia (ORCID: https://orcid.org/0009-0005-3644-8063)
- Antonio Pellegrino (ORCID: https://orcid.org/0000-0002-3824-3679)
- Ivo Boškoski (ORCID: https://orcid.org/0000-0001-8194-2670)
- Alberto Larghi (ORCID: https://orcid.org/0000-0001-7131-3686)
- Giulia Tripodi
- Gianenrico Rizzatti (ORCID: https://orcid.org/0000-0003-1876-7587)
Institutions
- Agostino Gemelli University Polyclinic (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Publication Details
- Journal
- VideoGIE
- Published
- 2025-03-22
- DOI
- https://doi.org/10.1016/j.vgie.2025.03.027
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00