Researcher in human-AI interaction and decision making at @AIHI_MQ @DavidLyell@sciences.social

Sydney, Australia
Joined December 2009
David Lyell retweeted
IMJ September 2023 #OpenAccess Clinical Perspective: Artificial intelligence in medicine bit.ly/3t8aBQV @marrow @TheRACP @WileyHealth @David_Lyell
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David Lyell retweeted
IMJ September (Vol 53, Iss 09) is now online bit.ly/3rr7vXy @marrow @TheRACP @WileyHealth @DanSteinfort @ianjohnwoolley2 @drobeirne @cancersolutions @SaurabhkumarEp @Badves @szetinglee1 @Velandaisrikan1 @YvonneBonomo @David_Lyell @Tom_Marwick
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After a JAMIA review of errors in medical devices approved for use by the US FDA, @David_Lyell talks about the source of errors incl those caused by errors in the ML algorithm, the device and user error. Ep99: When AI goes wrong racp.edu.au/podcast/detail/V… #Pomcast #RACP
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“By not asking how the intended medical use can shape the training of LLMs and the chatbots or other applications they power, technology companies are deciding what is right for medicine.” Thanks @drnigam @DEntwistleSHC for the excellent questions @EnricoCoiera @karinv @chapmanbe
"Given the highly disruptive potential of these [#AI] technologies, clinicians cannot afford to be on the sidelines. The adoption of LLMs in medicine needs to be shaped by the medical profession..." @JAMA_current jamanetwork.com/journals/jam… @drnigam @DEntwistleSHC
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⁦@David_Lyell⁩ presents at #Medinfo23 on using clinical simulation to evaluate effects of AI on decision-making ⁦@AIHI_MQ⁩
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[New paper] More than algorithms: an analysis of safety events involving ML-enabled medical devices reported to the FDA Study led by @David_Lyell with @FarahMagrabi academic.oup.com/jamia/advan…
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Congratulations Dr @David_Lyell for acceptance as Fellow of the Australasian Institute of Digital Health recognising your high level engagement in digital health. Your ongoing contribution to the field of human-AI interaction and decision making is invaluable. @TheInstituteDH
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New study with @FarahMagrabi @SydneyLHD and @annalise_ai will evaluate the use of @annalise_ai's AI-enabled software as a way to assist clinicians to better analyse chest X-rays. healthcareitnews.com/news/an… via @HealthITNews
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Breaking news 📣 NEW project assessing the impact of AI on clinical decision-making announced 👏 Led by @Macquarie_Uni, this research will evaluate the use of @annalise_ai's AI-enabled software as a way to assist clinicians to better analyse chest X-rays. bit.ly/3AVN71x
The original research 'Emergency department and urgent care clinician perspectives on digital access to past medical histories bit.ly/3x7KUiG ' is this month's #Editorschoice paper! Congratulations to the authors! @David_Lyell @EnricoCoiera #ED #digitalhealth
Do clinicians know enough about how much they can rely on machine learning embedded in clinical decision-making devices? @FarahMagrabi is sharing the first framework for classifying #AI backed medical devices at Centre for Health Informatics #CHI_21st doi.org/10.1136/bmjhci-2020-…
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The latest research at #bmjhci: 'Emergency department and urgent care #clinician perspectives on digital access to past medical histories' bit.ly/3x7KUiG @EnricoCoiera @David_Lyell #ED #urgentcare #digitalhealth #emergencydepartment
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New research shows there is strong clinician support for digital access to past medical history in the #emergency department and acute care, but current systems have many shortcomings. New from Tom Bowden, @EnricoCoiera and David Lyell pubmed.ncbi.nlm.nih.gov/3561…
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I will no longer engage in philosophical discussions about conscious AI/superintelligent machines, and here's why. (long🧵1/11)
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