Generative AI is taking the world, and healthcare, by storm. The accurately predicted textual outputs based on prompts can induce "wow" moments. But there needs to be an industry-wide consideration for how to iteratively allow innovation powered by large language models to be rolled out within the sensitive domain of patient care while minimizing risks. […]

This presentation engages with a communicative approach to delve into the interpretability of AI-driven tools for health. The objective is to illustrate a work in progress of using a proposed Box of Questions for Communicating AI4H to achieve end-users-oriented, intelligible explanations. Overall, the presentation will reflect on how embracing a communicative strategy when incorporating AI-driven […]

This webinar will discuss the research of Laurence M. Boitet, PhD, and her co-authors who conducted research into the psychological distress resulting from the COVID-19 pandemic on healthcare workers, including the development of post-traumatic stress symptoms. Their research was designed to support the development of trauma-informed leadership strategies, and they collected data from June to […]

St. Joseph’s Healthcare Hamilton (SJHH) is currently in the process of operationalizing the Deterioration Index, a Cognitive Computing model that acts as an extension of the Epic electronic health record to help detect early signs of patient deterioration in order to determine the likelihood that a patient will experience an escalation in care (i.e., transfer […]