Abstract PO3-19-11: CINDERELLA Clinical Trial (NCT05196269): using artificial intelligence-driven healthcare to enhance breast cancer locoregional treatment …

EA Bonci, O Kaidar-Person, M Antunes, O Ciani… - Cancer Research, 2024 - AACR
Background. Breast cancer treatment has improved overall survival rates, with different
locoregional approaches offering patients similar locoregional control but variable aesthetic …

108TiP CINDERELLA clinical trial: Using artificial intelligence-driven healthcare to enhance breast cancer locoregional treatment decisions

A Pfob, EA Bonci, O Kaidar-Person, M Antunes… - ESMO Open, 2024 - esmoopen.com
Background Breast cancer management often requires a delicate balance between effective
treatments and preserving patient's quality of life. Standardised methods to inform patients …

CINDERELLA Trial: validation of an artificial-intelligence cloud-based platform to improve the shared decision-making process and outcomes in breast cancer patients …

EA Bonci, O Kaidar-Person, M Antunes, O Ciani… - European Journal of …, 2024 - ejso.com
Background: Breast cancer therapy has made significant progress in improving overall
survival rates, with different surgical approaches offering patients similar locoregional …

[HTML][HTML] Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in …

O Kaidar-Person, M Antunes, JS Cardoso, O Ciani… - PLoS …, 2023 - journals.plos.org
Background Breast cancer therapy improved significantly, allowing for different surgical
approaches for the same disease stage, therefore offering patients different aesthetic …

The CINDERELLA APProach: Future Concepts for Patient Empowerment in Breast Cancer Treatment with Artificial Intelligence-Driven Healthcare Platform

T Schinköthe, EA Bonci, KP Orit, H Cruz… - European Journal of …, 2024 - ejcancer.com
Background: The CINDERELLA trial (NCT05196269) is designed to determine the efficacy
of the CINDERELLA APProach, an innovative cloud-based healthcare platform, in …

Artificial intelligence for prediction of treatment outcomes in breast cancer: Systematic review of design, reporting standards, and bias

C Corti, M Cobanaj, F Marian, EC Dee, MR Lloyd… - Cancer Treatment …, 2022 - Elsevier
Background Artificial intelligence (AI) has the potential to personalize treatment strategies for
patients with cancer. However, current methodological weaknesses could limit clinical …

[HTML][HTML] Evolution, current challenges, and future possibilities in the objective assessment of aesthetic outcome of breast cancer locoregional treatment

JS Cardoso, W Silva, MJ Cardoso - The Breast, 2020 - Elsevier
Abstract The Breast Cancer overall survival rate has raised impressively in the last 20 years
mainly due to improved screening and effectiveness of treatments. This increase in survival …

Abstract OT-39-01: Artificial intelligence supporting cancer patients across Europe-the ASCAPE project for breast cancer patients

A Valachis, S Autexier, I Grau, L Itu, D Jakotevic… - Cancer Research, 2021 - AACR
Background Many breast cancer patients experience adverse effects of cancer or treatment,
which can considerably decrease quality of life (QoL). The current strategy of supporting …

The role of artificial intelligence in optimising patient recruitment for breast cancer clinical trials

LI Lim, S Puthur, S Mahmoud, L Cooper… - European Journal of …, 2024 - ejso.com
Methods: We retrospectively reviewed breast cancer patients discussed at four
multidisciplinary team meetings in November 2022 at North Manchester General Hospital …

Abstract OT2-06-01: Solti-1903 HOPE: Real-world clinical practice study to assess the impact of using genomic data on the next treatment decision making-choice in …

A Casas, E Ciruelos, M Oliveira, C Saura, M Bellet… - Cancer Research, 2022 - AACR
BACKGROUND: Metastatic breast cancer (mBC) remains an incurable disease and is the
cause of nearly all deaths related to BC. Next-generation sequencing technologies are …