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Dive into the research topics where Aishwarya Kasabe is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Machine learning to predict stroke risk from routine hospital data: A systematic review
Heseltine-Carp, W., Courtman, M., Browning, D., Kasabe, A., Allen, M., Streeter, A., Ifeachor, E., James, M. & Mullin, S., 1 Apr 2025, In: International Journal of Medical Informatics. 196, 105811.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Downloads (Pure) -
Opinions of the UK general public and stroke survivors in using artificial intelligence and ‘opt-out’ models of consent in medical research: a qualitative study
Heseltine-Carp, W., Thurston, M., Allen, M., Browning, D., Courtman, M., Kasabe, A., Ifeachor, E. & Mullin, S., 15 Dec 2025, In: BMJ Open.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Opinions of the UK general public in using artificial intelligence and “opt-out” models of consent in medical research
Heseltine-Carp, W., Thurston, M., Allen, M., Browning, D., Courtman, M., Kasabe, A., Ifeachor, E. & Mullin, S., 14 Dec 2024.Research output: Working paper / Preprint › Preprint
Open Access -
Protocol paper: A.I. Based STroke Risk fActor Classification and Treatment (ABSTRACT) study
Heseltine-Carp, W., Kasabe, A., Courtman, M., Allen, M., Streeter, A., Thurston, M., Wang, H., Mcgavin, L., Ifeachor, E. & Mullin, S., 11 Dec 2024.Research output: Working paper / Preprint › Preprint
Open Access -
Using Explainable Artificial Intelligence To Predict Future Stroke Risk Using Routinely Collected Historical Investigations
Browning, D., Heseltine-Carp, W., Mullin, S., Courtman, M., Ifeachor, E., Wang, H., Kasabe, A., Thurston, M., Streeter, A. & Allen, M., 12 Dec 2024.Research output: Contribution to conference › Poster › peer-review