Tag: clinical ai
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Generative AI in Clinical Practice – Canadian Physiotherapy Association
This presentation for the Orthopaedic Division of the Canadian Physiotherapy Association explored the implications of Generative AI (GenAI) in clinical physiotherapy practice, with a focus on its potential impact on patient care, clinical decision-making, and professional development.
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I was on the Man & Machine podcast last week
Last week I had a conversation with Ean Bett of the Man & Machine podcast, which we recorded and published. I had a great time talking to Ean about some of the progress we see taking place in clinical AI.
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Physiotherapy clinicians’ perceptions of AI in clinical practice – SAAHE conference
In 2019 I conducted a survey of international physiotherapy clinicians, asking what they thought of the introduction of AI and machine learning into clinical practice. I didn’t do much data analysis in 2020 (because, Covid) but have now completed an initial round of thematic analysis on the responses. In this presentation at the SAAHE 2021…
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On the poor performance of AI models during the pandemic
Heaven, W.D. (2021). Hundreds of AI tools have been built to catch covid. None of them helped. MIT Technology Review. In the end, many hundreds of predictive tools were developed. None of them made a real difference, and some were potentially harmful. That’s the damning conclusion of multiple studies published in the last few months.…
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Podcast: Clinicians’ ‘Number-One Wish’ for Artificial Intelligence
…we installed cheap depth sensors that can collect human behavior data on patients and clinicians without infringing on their privacy, because these are not photo grabs of people’s faces and identities. With that information, we can observe longitudinally, 24/7, whether proper care is being given to our patients and provide feedback in the health delivery…
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Article: Resistance to Medical Artificial Intelligence
Across a variety of medical decisions ranging from prevention to diagnosis to treatment, we document a robust reluctance to use medical care delivered by AI providers rather than comparable human providers. Whereas much is known about medical AI’s accuracy, cost-efficiency, and scalability, little is known about patients’ receptivity to medical AI. Yet patients are the…