Interactive Technologies for AI in Healthcare: Diagnosis, Management, and Assistance (ITAH)

Abstract

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.