Discover and read the best of Twitter Threads about #medicalAI
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2022 was wild for medical #AI and esp. medical foundation models (FMs).
This 🧵lists some of the standout papers from this year about this topic. Let's go!
(1/9)
#medtwitter #AIinMedicine #medicalAI @NatureMedicine
This 🧵lists some of the standout papers from this year about this topic. Let's go!
(1/9)
#medtwitter #AIinMedicine #medicalAI @NatureMedicine
First, some excellent reviews explaining some key preliminaries of FMs:
🔍 self-supervised learning:
a paradigm that allows for the training of AI models w/o explicit and costly labels (huge for medical applications).
nature.com/articles/s4155…
(2/9)
🔍 self-supervised learning:
a paradigm that allows for the training of AI models w/o explicit and costly labels (huge for medical applications).
nature.com/articles/s4155…
(2/9)
🔍 multimodal AI:
Medicine is driven by various types of data that hold complementary information. The rise of multimodal medical AI promises holistic views on patients and their diseases.
nature.com/articles/s4159…
(3/9)
Medicine is driven by various types of data that hold complementary information. The rise of multimodal medical AI promises holistic views on patients and their diseases.
nature.com/articles/s4159…
(3/9)
