What does the FDA proposed framework looks like for approval of machine learning models as medical devices? #SIIM2019@SIIM_Tweets still open for recommendations!
Thanks SIIM for the opportunity to present our work @PNTlab related to the use of AI to automate annotation of data in multi-center biomedical image repositories. #ImagingInformatics@SIIM_Tweets#SIIM2019
In fact, I would argue that many (if not most) of AI failures today can be traced back to this gap of knowledge/perspective. Formulating the right problem, handling the messiness of data, careful pre-processing and honest validation are fundamental to impact.
How will #AI revolutionize health care? Winning abstracts will be announced shortly. Join us in September 18-19th @StanfordMed and be part of the conversation―See details here 👉 https://t.co/bw5Jz7dS43 #ArtificialIntelligence
The lab team hard at work as we expand our collection of image-localized biopsies to drive our patient-specific mathematical model predictions of tumor growth and progression! #EveryPatientDeservesTheirOwnEquation
Arriving here from @NPR's story on #betterposter?
1. See my pinned tweet 4 the cartoon!
2. Poster templates here: https://t.co/PTJuWLqg8m
3. Run an annual conference? Consider offering #betterposter as an 'acceptable' alternate layout at your next con. Permission fosters courage!
Dr. Sara Ranjbar presents her work using AI to classify MRI subtypes. Greatly accelerates type annotation to help our glioma image analysis workflow. @gliomath#MathOnc#AI#MayoClinic#MayoClinicAI