Developing a framework for equitable ML development and deployment in oncology
The next healthcare era hinges on artificial intelligence (AI) advancements, leveraging vast clinical, imaging and operational data to streamline and augment processes. However, the data that is used to train AI solutions is biased due to the inequities that characterize our society (e.g. the social determinants of health), and health and healthcare in particular. Therefore,…
Read MoreDeveloping an AI-decision support tool for ED visits in oncology to augment compassion-centered care
Clinician Scientist, Sunnybrook Research Institute Many cancer patients access the emergency department (ED). However, 60% of ED visits are preventable with limited tools to stratify risk groups and personalize care plans. Ultimately, this would avoid anxiety and distress. Here, William proposes to develop an artificial intelligence (AI)-guided decision support tool to improve management and follow-up…
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