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Artificial Intelligence in Gynecological Oncology from Diagnosis to Surgery
14
Zitationen
10
Autoren
2025
Jahr
Abstract
: Everything we know to date is related to a dynamic photograph that is constantly and rapidly changing as much as AI is becoming inextricably linked to our medical field.
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Autoren
Institutionen
- University of Sassari(IT)
- Ospedale Santa Maria della Misericordia di Udine(IT)
- Ospedale Vito Fazzi(IT)
- University of Udine(IT)
- IRCCS Ospedale San Raffaele(IT)
- Agostino Gemelli University Polyclinic(IT)
- Istituti di Ricovero e Cura a Carattere Scientifico(IT)
- Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale"(IT)
- Ovarian Cancer Action(GB)
- Imperial College London(GB)