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/

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10.1109/IEEECONF58974.2023.10405028

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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 (pp. 77-78). IEEE. https://doi.org/10.1109/IEEECONF58974.2023.10405028

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title = "From the clinic: A survey on trustworthy AI in breast cancer",

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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year = "2023",

doi = "10.1109/IEEECONF58974.2023.10405028",

language = "English",

pages = "77--78",

booktitle = "2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023",

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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

TY - GEN

T1 - From the clinic

T2 - IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology

AU - Joshi, Smriti

AU - Emelie, Anais

AU - Bobowicz, MacIej

AU - Tsakou, Gianna

AU - Charalambous, Stefanie

AU - Salahuddin, Zohaib

AU - Diaz, Oliver

AU - Lekadir, Karim

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

U2 - 10.1109/IEEECONF58974.2023.10405028

DO - 10.1109/IEEECONF58974.2023.10405028

M3 - Conference article in proceeding

SP - 77

EP - 78

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

PB - IEEE

Y2 - 7 December 2023 through 9 December 2023

ER -

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

Abstract

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