A new technology for medical and surgical data organisation: the WSES-WJES Decentralised Knowledge Graph
Utilizing a DKG enables more effective structuring and organization of medical knowledge. This facilitates a deeper understanding of the interrelationships between various aspects of medicine and surgery, ultimately enhancing the diagnosis and treatment of different diseases. The system's design aims to be inclusive and user-friendly, providing access to high-quality surgical knowledge for healthcare providers worldwide, regardless of their technological capabilities or geographical location. As the DKG evolves, ongoing attention to user feedback, regulatory frameworks, and ethical considerations will be critical to its long-term success and global impact in the surgical field.
Authors
- Luca Ansaloni (ORCID: https://orcid.org/0000-0001-6427-0307)
- Sophiya Rumovskaya (ORCID: https://orcid.org/0000-0001-7115-8890)
- Ernest Eugene Moore (ORCID: https://orcid.org/0000-0002-0419-4848)
- Federico Coccolini (ORCID: https://orcid.org/0000-0001-6364-4186)
- Belinda De Simone (ORCID: https://orcid.org/0000-0002-7956-3097)
- Andrey Litvin (ORCID: https://orcid.org/0000-0002-9330-6513)
- Massimo Sartelli
- Walter Biffl
- Fausto Catena
- Lucienne Kasongo
Institutions
- Russian Academy of Sciences (RU)
- Università degli Studi eCampus (IT)
- Gomel State Medical University (BY)
- University of Pavia (IT)
- Denver Health Medical Center (US)
- Kinshasa General Hospital (CD)
- Scripps Clinic Medical Group (US)
- Ospedale “M. Bufalini” di Cesena (IT)
- Ospedale Infermi di Rimini (IT)
- Azienda Ospedaliera Universitaria Pisana (IT)
- Ospedale di Macerata
- University of Macerata (IT)
- University of Colorado Denver (US)
Publication Details
- Journal
- World Journal of Emergency Surgery
- Published
- 2024-11-20
- DOI
- https://doi.org/10.1186/s13017-024-00563-6
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.24