Understanding Ovarian Cancer Initiation and Progression through Explainable Artificial Intelligence
Our Goals
Our Mission
Diagnose
Accurately
Plan
Optimally
Treat
Individually
Update
Frequently
FollowUp
Consistently
UnderXAI is an effort to support clinical decision making in the era of individualized and precision medicine
We develop an explainable AI-driven decision-support system for assisting the clinicians in making well-informed diagnosis and therapy decisions, ultimately leading to improved treatment outcomes for patients affected by ovarian cancer.
Publications
Deep learning-based tumor resectability prediction model in patients with Ovarian Cancer: a preliminary evaluation
Francesca Fati, Marina Rosanu, Luigi De Vitis, Gabriella Schivardi, Giovanni Damiano Aletti, Francesco Multinu, Roberto Veraldi, Paolo Zaffino, Carlo Cosentino, Maria Francesca Spadea, Elena De Momi
on the proceedings of Ital-IA 2024
Partners
UnderXAI is a joint project between 2 universities and 3 clinics in Italy
Politecnico di Milano (Milan, IT) – IEO: Istituto Europeo di Oncologia (Milan, IT) – Università degli studi Magna Graecia (Catanzaro, IT) – Azienda Ospedaliero-Universitaria di Cagliari (Cagliari, IT) – Università degli studi dell’Insubria (Varese, IT)
This project has received funding from the European Union’s NextGenerationEU 2023 programme in the context of the italian Piano Nazionale di Ripresa e Resilienza, with project code
PNRR-MAD-2022-12376574
This webpage was designed and is maintained by Francesca Fati and Alberto Rota
Find Us
NEARLab is located inside the Leonardo Robotics Labs space at Politecnico di Milano, piazza Leonardo da Vinci 32, Building 7, 20133, Milano, Italy
and at Campus Colombo in Via Giuseppe Colombo, 40, 20133 Milano MI
Hours
Monday to Friday: 8.00 A.M. – 20.00 P.M.
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Website Maintainers
Alberto Rota, Mattia Magro, Alessandra Maria Trapani
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