From the clinic: A survey on trustworthy AI in breast cancer

Smriti Joshi; Anais Emelie; MacIej Bobowicz; Gianna Tsakou; Stefanie Charalambous; Zohaib Salahuddin; Oliver Diaz; Karim Lekadir

doi:10.1109/IEEECONF58974.2023.10405028

From the clinic: A survey on trustworthy AI in breast cancer

Smriti Joshi^*, Anais Emelie, MacIej Bobowicz, Gianna Tsakou, Stefanie Charalambous, Zohaib Salahuddin, Oliver Diaz, Karim Lekadir

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic

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.

Original language	English
Title of host publication	2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023
Publisher	IEEE
Pages	77-78
Number of pages	2
ISBN (Electronic)	9798350383386
DOIs	https://doi.org/10.1109/IEEECONF58974.2023.10405028
Publication status	Published - 2023
Event	IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology - St. Julians, Malta Duration: 7 Dec 2023 → 9 Dec 2023 https://datascience.embs.org/2023/

Conference

Conference	IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology
Country/Territory	Malta
City	St. Julians
Period	7/12/23 → 9/12/23
Internet address	https://datascience.embs.org/2023/

Access to Document

10.1109/IEEECONF58974.2023.10405028

Cite this

Joshi, S., Emelie, A., Bobowicz, M., Tsakou, G., Charalambous, S., Salahuddin, Z., Diaz, O., & Lekadir, K. (2023). From the clinic: A survey on trustworthy AI in breast cancer. In 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023 (pp. 77-78). IEEE. https://doi.org/10.1109/IEEECONF58974.2023.10405028

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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.",

author = "Smriti Joshi and Anais Emelie and MacIej Bobowicz and Gianna Tsakou and Stefanie Charalambous and Zohaib Salahuddin and Oliver Diaz and Karim Lekadir",

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Joshi, S, Emelie, A, Bobowicz, M, Tsakou, G, Charalambous, S, Salahuddin, Z, Diaz, O & Lekadir, K 2023, From the clinic: A survey on trustworthy AI in breast cancer. in 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023. IEEE, pp. 77-78, IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology, St. Julians, Malta, 7/12/23. https://doi.org/10.1109/IEEECONF58974.2023.10405028

From the clinic: A survey on trustworthy AI in breast cancer. / Joshi, Smriti; Emelie, Anais; Bobowicz, MacIej et al.
2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023. IEEE, 2023. p. 77-78.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic

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AU - Charalambous, Stefanie

AU - Salahuddin, Zohaib

AU - Diaz, Oliver

AU - Lekadir, Karim

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BT - 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023

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