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Healthcare systems around the world are continually developing strategies to individualize care, improve outcomes and contain costs. Particularly, AI in healthcare is a burgeoning field, used today in applications such as diagnostic processes, treatment tools, drug discovery and development, remote patient monitoring and more.
On June 25, 2020, attendees of the inaugural AI in Health event heard from some of our province’s most talented medical professionals and leading AI researchers, including:
Which Liver Patients to Waitlist for a New Liver: Motivating A Novel Survival Prediction Model and Evaluation Measure
Deciding which patient should be waitlisted for a liver transplant should depend on utility, the patient’s chance of long-term survival with the graft. However, most survival models use only risk scores, which are discriminative (can compare predicted outcomes between patients), but are not measuring the desired characteristic: utility for a single patient. This motivated us to develop and use a novel type of predictor that can produce an “Individual Survival Distribution” for each patient.
This presentation first overviews standard survival analysis models to discuss what each can (and cannot) do, to motivate our approach. We then discuss the issue of evaluating these models, leading to a novel evaluation method (D-calibration). Finally, we show that this approach works effectively, leading to a deployed system to help hepatologists make this critical decision for their patients.
Apr 8th 2024
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Amii Fellows share tips on how to make the most of your conference experience.
Mar 26th 2024
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In this month's episode, Alona talks about how ChatGPT changed the public’s perception of what AI language models can do, instantly making most previous benchmarks seem out of date, and the excitement and intensity of working in a fast-moving field like AI.
Mar 18th 2024
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Google.org announces new research grants to support critical AI research in Canada focused on areas such as sustainability and the responsible development of AI. The grant will provide a total of $2.7 million in grant funding to Amii, the Canadian Institute for Advanced Research (CIFAR) and the International Center of Expertise of Montreal on AI (CEIMIA).
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