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!
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
@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!
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!
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:
https://t.co/KrMHZ3Zct7
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: https://t.co/Ya8NExEmMc
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: https://t.co/NRWkXWOsDP
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: https://t.co/NRWkXWOsDP
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.
https://t.co/lV7J72Eawz
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: https://t.co/NhxMzCMB4Z