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Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: The CINDERELLA trial
24
Zitationen
24
Autoren
2023
Jahr
Abstract
The project aims to develop an easy-to-use cost-effective AI-powered tool that improves shared decision-making processes. We assume that the CINDERELLA APProach will lead to higher satisfaction, better psychosocial status, and wellbeing of breast cancer patients, and reduce the need for additional surgeries to improve aesthetic outcome.
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Autoren
- Orit Kaidar‐Person
- Marília Antunes
- Jaime S. Cardoso
- Oriana Ciani
- Helena Vidaurri‐de la Cruz
- Rosa Di Micco
- Oreste Gentilini
- Tiago Gonçalves
- Pedro Gouveia
- Joerg Heil
- Paweł Kabata
- Daniela Siqueira Lopes
- Marta Martinho
- Henrique Martins
- Carlos Mavioso
- Martin Mika
- Helena Montenegro
- Hélder P. Oliveira
- André Pfob
- Nicole Rotmensz
- Timo Schinköthe
- Giovani L. Silva
- Rosanna Tarricone
- Maria João Cardoso
Institutionen
- Tel Aviv University(IL)
- Sheba Medical Center(IL)
- University of Lisbon(PT)
- Instituto Politécnico de Lisboa(PT)
- Bocconi University(IT)
- Champalimaud Foundation(PT)
- INESC TEC(PT)
- Universidade do Porto(PT)
- San Raffaele University of Rome(IT)
- Iscte – Instituto Universitário de Lisboa(PT)
- Gdańsk Medical University(PL)
- Heidelberg University(DE)
- University Hospital Heidelberg(DE)