TY - GEN
T1 - Interactive Technologies for AI in Healthcare
T2 - 28th International Conference on Intelligent User Interfaces, IUI 2023
AU - Alkan, Oznur
AU - Celiktutan, Oya
AU - Salam, Hanan
AU - Mahmoud, Marwa
AU - Buckley, Greg
AU - Phelan, Niamh
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/3/27
Y1 - 2023/3/27
N2 - Recent advances in AI for healthcare result in processing big data sets and consolidating patient insights, which in turn leads to predictive benefits through helping the healthcare ecosystem discover key areas of patient care. Although AI systems have been shown to bring benefits to healthcare, adoption of these systems in practice remains a challenge due to the lack of user-centred design, personalisation, and the opaqueness of the algorithms. Motivated from the above points, we aim to address the interactivity in AI solutions targeted for healthcare through bringing together researchers and experts from the domains including AI, healthcare, and medicine to facilitate the discussions in this very critical domain. We aim to facilitate the ideation, discussions and future research for AI models that will be more reliable and acceptable for physicians, patients, and all targeted user groups in healthcare. The workshop page is available at https://sites.google.com/view/itah-iui2023.
AB - Recent advances in AI for healthcare result in processing big data sets and consolidating patient insights, which in turn leads to predictive benefits through helping the healthcare ecosystem discover key areas of patient care. Although AI systems have been shown to bring benefits to healthcare, adoption of these systems in practice remains a challenge due to the lack of user-centred design, personalisation, and the opaqueness of the algorithms. Motivated from the above points, we aim to address the interactivity in AI solutions targeted for healthcare through bringing together researchers and experts from the domains including AI, healthcare, and medicine to facilitate the discussions in this very critical domain. We aim to facilitate the ideation, discussions and future research for AI models that will be more reliable and acceptable for physicians, patients, and all targeted user groups in healthcare. The workshop page is available at https://sites.google.com/view/itah-iui2023.
KW - adoption
KW - healthcare
KW - interactivity
KW - user experience
UR - http://www.scopus.com/inward/record.url?scp=85152014190&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85152014190&partnerID=8YFLogxK
U2 - 10.1145/3581754.3584167
DO - 10.1145/3581754.3584167
M3 - Conference contribution
AN - SCOPUS:85152014190
T3 - International Conference on Intelligent User Interfaces, Proceedings IUI
SP - 193
EP - 195
BT - IUI 2023 - Companion Proceedings of the 28th International Conference on Intelligent User Interfaces
PB - Association for Computing Machinery
Y2 - 27 March 2023 through 31 March 2023
ER -