Artificial intelligence in medicine: has the time come to hang up the stethoscope? - @David_Lyell and @FarahMagrabi - 2023 - Internal Medicine Journal - Wiley Online Library https://t.co/0sG8tnnJAv
[new paper] AI in medicine: has the time come to hang up the stethoscope? led by @davidlyell It is time to move away from generalised promises of disembodied AI and focus on specifics https://t.co/Cda6VzAVd8 #AI#digitalhealth@AIHI_MQ@AAAiH_AU
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 https://t.co/I0HWcgwRzn #Pomcast#RACP
“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
"AI isn't the answer, it is part of a system that needs to support the provision of healthcare" warns @David_Lyell and @FarahMagrabi in this article with @dhansen35
https://t.co/kGg8OfRuPo
[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
https://t.co/NEaNeI8wkd
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
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. https://t.co/bQpRIjb3Gc
The original research 'Emergency department and urgent care clinician perspectives on digital access to past medical histories https://t.co/15FErn9USm ' is this month's #Editorschoice paper! Congratulations to the authors!
@David_Lyell@EnricoCoiera#ED#digitalhealth
"there is a perverse incentive to design AI that is artificially innocent..... The legal team’s primary concern would be liability, not ethics or social perceptions."
https://t.co/IIXBbkNatJ
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
https://t.co/CCtfSW3Y1o