Thomas Li (@_thomasli) profile picture

MD/PhD candidate @VanderbiltMSTP doing translational data science @MASI_Lab. #DukeU '18

Nashville, TN
Joined October 2016
Photo by Thomas Li (@_thomasli)Photo by Thomas Li (@_thomasli)
Replying to @LeonCai
@LeonCai handed off the GitHub Guru trophy for lab mentorship. Thank you @_thomasli for filling his very big shoes. I appreciate our great @VanderbiltMSTP / @VandyBME team players.
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We are very interested in interpreting images within the context of a patient's history, known biomarkers, and other available data. However, all too often, not every patient has every data type available. Recently, we looked at this problem in lung screening.
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Brand new PredictionHealth video hot and fresh out of the oven! 🕺🩺 🤖 So psyched to be saving clinicians hours a day and freeing them up to focus on their patients. This is just the beginning, too!
You didn't go into medicine to spend hours in the EHR. Let AI-assisted scribes do your documentation for you. Introducing PredictionHealth.
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We would like to introduce Lucky (right) with her best friend (Leia) to the MSTPet community! Photo credit goes to Lucky’s human @_thomasli (M2).
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Musings of an anonymous, pissed off virologist.
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What company is the #1 market #EHR, makes >$3 billion/yr selling (aka gouging) health systems poor performing software, and now opposes @HHSGov proposal for hospitals to share medical data for their patients? This one: cnbc.com/2020/01/22/epic-ceo… by @chrissyfarr @CNBC
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Thomas Li retweeted
A prospective clinical trial of #AI to determine intraoperative #cancer in near real time using label-free imaging: impressive rapid, accurate results by @umichneuro @ToddCHollon @DanOrringerMD & collaborators @NatureMedicine nature.com/articles/s41591-0…
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🤖📢‼️ML Healthcare Researchers ‼️📢🤖 BIG medical data release thanks to @alistairewj @MIT @BIDMChealth MIMIC 2.0 >375k chest Xrays + 𝙁𝙍𝙀𝙀 𝙏𝙀𝙓𝙏 𝙍𝘼𝘿𝙄𝙊𝙇𝙊𝙂𝙔 𝙍𝙀𝙋𝙊𝙍𝙏𝙎 Link: physionet.org/content/mimic-… cc: @jeremyphoward @jeremy_irvin16
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Soooo excited to see this out @LancetDigitalH - deep learning for medical image classification by doctors @Moorfields with NO coding experience using @googlecloud #DeepLearning #AutoML #OpenSource authors.elsevier.com/sd/arti… – at Neuilly-sur-Seine, France
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