Please use this identifier to cite or link to this item:
https://hdl.handle.net/2445/219986
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DC Field | Value | Language |
---|---|---|
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.accessioned | 2025-03-25T12:39:33Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | 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. | ca |
dc.description.sponsorship | 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 | ca |
dc.format.extent | 2 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | ca |
dc.publisher | IEEE | ca |
dc.relation.isformatof | Versió postprint de la comunicació publicada a: 10.1109/IEEECONF58974.2023.10405028 | - |
dc.relation.ispartof | 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.uri | 10.1109/IEEECONF58974.2023.10405028 | - |
dc.rights | (c) IEEE, 2023 | - |
dc.source | Comunicacions a congressos (Matemàtiques i Informàtica) | - |
dc.subject.classification | Càncer de mama | - |
dc.subject.classification | Intel·ligència artificial | - |
dc.subject.classification | Enquestes | ca |
dc.subject.other | Breast cancer | - |
dc.subject.other | Artificial intelligence | - |
dc.subject.other | Surveys | en |
dc.title | From the clinic: A survey on trustworthy AI in breast cancer | ca |
dc.type | info:eu-repo/semantics/acceptedVersion | - |
dc.type | info:eu-repo/semantics/conferenceObject | - |
dc.relation.projectID | info:eu-repo/grantAgreement/PID2021-126724OB-I00/ES/RadioVal | - |
dc.rights.accessRights | info:eu-repo/semantics/embargoedAccess | ca |
dc.embargo.lift | 2026-01-29 | - |
dc.date.embargoEndDate | info:eu-repo/date/embargoEnd/2026-01-29 | ca |
Appears in Collections: | Comunicacions a congressos (Matemàtiques i Informàtica) |
Files in This Item:
File | Description | Size | Format | |
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IEEE From_the_Clinic_Survey_Final_Version_Joshi.pdf | 342.03 kB | Adobe PDF | View/Open Request a copy |
Document embargat fins el
29-1-2026
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