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Luke Sagers
44 posts
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🧵1/ Last week I had the privilege of hooding **Dr.** @luke_sagers, my first PhD student, in a special ceremony at @harvardmed.
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Very special moment. It's been an amazing few years @arjunmanrai. Thank you taking a chance on me!
Arjun (Raj) Manrai@arjunmanrai
🧵1/ Last week I had the privilege of hooding **Dr.** @luke_sagers, my first PhD student, in a special ceremony at @harvardmed.
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Couldn’t have asked for a greater mentor these past several years, @arjunmanrai!
Excited about the work we’ve done that got me to this point and looking forward to what’s next!
Arjun (Raj) Manrai@arjunmanrai
Congrats to **Dr.** @luke_sagers who brilliantly defended his PhD dissertation! Luke rigorously evaluated whether synthetic data can improve medical image classifiers across populations. It's been a privilege to work w/ Luke from when he was a summer undergrad at @HarvardDBMI
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@JamesADiao Thanks @JamesADiao, it’s been great working with and learning from you these past several years. Excited to share a graduation date in a few weeks!
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Luke Sagers retweetledi
Congratulations Dr. @luke_sagers on an amazing dissertation!! 🔥🔥🔥
Arjun (Raj) Manrai@arjunmanrai
Congrats to **Dr.** @luke_sagers who brilliantly defended his PhD dissertation! Luke rigorously evaluated whether synthetic data can improve medical image classifiers across populations. It's been a privilege to work w/ Luke from when he was a summer undergrad at @HarvardDBMI
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Luke Sagers retweetledi
It's a privilege to work alongside this creative & hard-working team. It was a great 2023 for our lab at @HarvardDBMI and we are looking forward to 2024!
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Luke Sagers retweetledi
We had an amazing conversation with @mcuban about AI, large language models, trust in medicine, and Skip Bayless (not a sentence I ever thought I would say). Out now on the latest @NEJM_AI Grand Rounds:
ai-podcast.nejm.org/e/mark-cuban-o…
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@ayushnoori Thanks for sharing, Ayush! Would love to talk more with you on this and hear some of your thoughts!
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Appreciated the point that synthetic data can improve model fairness by increasing data representation from rare diseases and marginalized groups. ⚖️
Interested in implications for image-based AI across other medical domains: e.g., MRI and PET in neurological disease. 📷 4/4
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I’ve been wondering about the important synthetic image data augmentation question for medical AI, and know others have been too!
Funny enough, was just 🧠🌩️-ing with @lakhani_anika @JayanthPratap about this and utility of diverse dermatologic data.
New work sheds light! 1/4
Arjun (Raj) Manrai@arjunmanrai
Can synthetic data produced by latent diffusion models improve medical AI? We studied this question using skin disease classifiers in our new preprint led by @luke_sagers @JamesADiao @lukemelas. Takeaways: • Synthetic images can enhance model performance in data-limited scenarios. • Gains saturate at synthetic-to-real image ratios above 10:1 and are substantially smaller than the gains obtained from adding real images. • Diverse real-world data remains the most important step to improve medical AI algorithms. Special thanks to collaborators @RoxanaDaneshjou @Dr_vron @pranavrajpurkar @AdeAdamson @mattgroh Full text: arxiv.org/abs/2308.12453
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Luke Sagers retweetledi
Does synthetic data help for medicine?
Check out our work led by @luke_sagers @JamesADiao & spearheaded by @arjunmanrai.
Arjun (Raj) Manrai@arjunmanrai
Can synthetic data produced by latent diffusion models improve medical AI? We studied this question using skin disease classifiers in our new preprint led by @luke_sagers @JamesADiao @lukemelas. Takeaways: • Synthetic images can enhance model performance in data-limited scenarios. • Gains saturate at synthetic-to-real image ratios above 10:1 and are substantially smaller than the gains obtained from adding real images. • Diverse real-world data remains the most important step to improve medical AI algorithms. Special thanks to collaborators @RoxanaDaneshjou @Dr_vron @pranavrajpurkar @AdeAdamson @mattgroh Full text: arxiv.org/abs/2308.12453
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Excited to see this up on arxiv!
Very grateful to work alongside a a top-tier team, including co-first authors @JamesADiao & @lukemelas, collaborators @mattgroh, @pranavrajpurkar, @Dr_vron, @AdeAdamson, and @RoxanaDaneshjou, and under the fantastic mentorship of @arjunmanrai
Arjun (Raj) Manrai@arjunmanrai
Can synthetic data produced by latent diffusion models improve medical AI? We studied this question using skin disease classifiers in our new preprint led by @luke_sagers @JamesADiao @lukemelas. Takeaways: • Synthetic images can enhance model performance in data-limited scenarios. • Gains saturate at synthetic-to-real image ratios above 10:1 and are substantially smaller than the gains obtained from adding real images. • Diverse real-world data remains the most important step to improve medical AI algorithms. Special thanks to collaborators @RoxanaDaneshjou @Dr_vron @pranavrajpurkar @AdeAdamson @mattgroh Full text: arxiv.org/abs/2308.12453
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Luke Sagers retweetledi
Luke Sagers retweetledi
How will GPT-4 change medicine? I lost sleep after this long and fascinating conversation with @peteratmsr of Microsoft. He took us behind the scenes of the Microsoft/OpenAI partnership and predicted how GPT-4 & beyond will impact healthcare. Listen here: ai-podcast.nejm.org
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Luke Sagers retweetledi
I couldn't be more excited to help launch @NEJM_AI as a Deputy Editor and to be working with @zakkohane, @AndrewLBeam, and the entire team
NEJM AI@NEJM_AI
Coming soon: NEJM AI, a new journal from NEJM Group. NEJM AI aims to identify and evaluate state-of-the-art applications of artificial intelligence to clinical medicine. Learn more about the new journal: ai.nejm.org
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Luke Sagers retweetledi
Excited to share our new @NEJM_AI Grand Rounds episode, an enlightening conversation with @pranavrajpurkar of @HarvardDBMI who takes us behind the scenes of a few seminal medical AI papers over the past decade and also gives us a preview of what's next: ai-podcast.nejm.org
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Luke Sagers retweetledi
Thrilled to announce @NEJM_AI Grand Rounds, a new podcast I'm co-hosting with @AndrewLBeam. We'll feature informal conversations with experts exploring deep issues at the intersection of artificial intelligence, machine learning, and medicine.
ai-podcast.nejm.org
NEJM AI@NEJM_AI
Launching later this month, NEJM AI Grand Rounds is a new podcast exploring how #ArtificialIntelligence will change clinical practice and healthcare. Listen to the podcast trailer and subscribe: ai-podcast.nejm.org #AIinMedicine
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Luke Sagers retweetledi
Can synthetic data from large diffusion models improve dermatology classifiers across populations? Hear @luke_sagers and @JamesADiao present our new work (joint w/ @pranavrajpurkar @mattgroh @AdeAdamson) tmrw at the #NeurIPS22 SyntheticData4ML ws:
Paper: openreview.net/forum?id=Vzdbj…
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With Stephen Curry moving up to No. 1 all-time in made threes, check out this motion graphic representation of how the top 10 has changed over the years 🔥
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