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@maxkelsen 2 years ago
Our Research Lab has developed a #machinelearning model that can rapidly diagnose glaucoma based off medical images, with an error rate less than half that of human doctors. #AI #glaucoma #MedTech #DigitalHealth https://www.brisbanetimes.com.au/national/queensland/ai-trained-to-spot-disease-that-sends-people-blind-20210706-p587ca.html
@YaleRadiology 4 years ago
Another honor for our Interventional Oncology Lab: #medstudent Nathan Chai has received the #RSNA Research Medical Student Grant! Nathan will develop a #MachineLearning model to predict HCC recurrence. Congrats Nathan & team! #futuredoctor @YaleMed @RSNA @dcmadoff @JuliusChapiro https://t.co/UyqV1qryjW