dc.contributor.author
Joshi, Smriti
dc.contributor.author
Emelie, Anais
dc.contributor.author
Bobowicz, Maciej
dc.contributor.author
Tsakou, Gianna
dc.contributor.author
Charalambous, Stefanie
dc.contributor.author
Salahuddin, Zohaib
dc.contributor.author
Díaz, Oliver
dc.contributor.author
Lekadir, Karim, 1977-
dc.date.issued
2025-03-25T12:39:33Z
dc.date.issued
2026-01-29T06:10:20Z
dc.identifier
https://hdl.handle.net/2445/219986
dc.description.abstract
With the fast-growing applications of artificial intelligence (AI) in healthcare, it is essential to keep track of
their credibility and reliability. We conducted a survey with healthcare practitioners to obtain requirements for developing reliable AI tools for breast cancer. We share our findings with the healthcare community, hoping that our work serves as a resource to build extensively validated and trustworthy solutions.
dc.description.abstract
Europe research and innovation programme under grant agreement No 101057699 (RadioVal) & by Horizon 2020 grant agreement No 952103 (EuCanImage), the project FUTURE-ES (PID2021-126724OB-I00) from the Ministry of Science and Innovation of Spain
dc.format
application/pdf
dc.relation
Versió postprint de la comunicació publicada a: 10.1109/IEEECONF58974.2023.10405028
dc.relation
Comunicació a: 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, Malta, 2023, [ISBN 979-8-3503-8338-6] pp. 77-78.
dc.relation
10.1109/IEEECONF58974.2023.10405028
dc.relation
info:eu-repo/grantAgreement/PID2021-126724OB-I00/ES/RadioVal
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Comunicacions a congressos (Matemàtiques i Informàtica)
dc.subject
Càncer de mama
dc.subject
Intel·ligència artificial
dc.subject
Artificial intelligence
dc.title
From the clinic: A survey on trustworthy AI in breast cancer
dc.type
info:eu-repo/semantics/acceptedVersion
dc.type
info:eu-repo/semantics/conferenceObject
