
Pranav Rajpurkar
@pranavrajpurkar
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Co-Founder a2z Radiology AI https://t.co/mdi996SFZy | Assistant Professor Harvard Lab: https://t.co/Z6tBGoluEG
Joined March 2015
New Editorial today that @EricTopol and I published in RADIOLOGY. What If We're Wrong About AI and Doctors Working Together?. Sometimes the ideas most worth exploring are the ones that challenge our most basic assumptions. [link in thread]
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RT @AuntMinnie: In a new editorial, @pranavrajpurkar and @EricTopol make the case for assigning AI and radiologists complementary yet separβ¦.
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RT @EricTopol: Our previous @nytopinion essay on this matter.@pranavrajpurkar .disregard the title (not selected or approved by us).https:/β¦.
nytimes.com
Research suggests physicians are undervaluing how artificial intelligence can improve medical care.
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Delighted to publish our review article on the generative era of medical AI in Cell!.w/ @EricTopol JohnFahrner and Emma Chen
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RT @jn_acosta: Our latest Perspective on how generative voice AI agents could transform healthcareβmaking medical expertise available 24/7,β¦.
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π Paper: π CVPR: π Youtube: π GitHub:
github.com
This repository contains code to run the FactCheXcker pipeline on model-generated chest X-ray reports that contain quantifiable metrics, such as endotracheal tube placements. - rajpurkarlab/FactChe...
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Excited to share our work to be presented at CVPR this week β πΉπππ‘πΆβππππππ, an agentic approach to fixing measurement hallucinations in multimodal generative AI models. @aliceheimanxyz @XiaomanZhang99
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π Paper: π€ Dataset: π Benchmark:
rexrank.ai
Open-source leaderboard for comparing and benchmarking AI models in radiology report generation.
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π₯ If you're a US/Canada board certified radiologist interested in getting on an AI publication by participating in our validation study, reach out to us [link in thread] @a2zradiologyai.
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A pleasure to collaborate with Jung-Oh Lee, @HongYuZhou14, @tberzin, @DanielSodickson on rethinking the frontier of multimodal generative ai for complex medical data!.
Thanks to @pranavrajpurkar & team for leading this @npjDigitalMed exploration of video-text generative models, including a focus on unique opportunities in GI endoscopy, from workflow phase recogntion to integration of multimodal data. Open access:.
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AI-generated draft sentences straight from the scan -> less time drafting, more time on complex decision-making. Like having an "AI fellow" by your side. See how we're building to streamline radiology workflows. Read the full announcement by me, @siddograMD and @SamirRajpurkar.
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