Love this paper. There are countless low-hanging fruits in deploying LLMs in important fields, including healthcare. I particularly liked this use case. Social Determinants of Health (SDoH) have been close to my heart since my work with RWJF (with Oktawia Wojcik) and Sutter Health (with Sylvia Sudat) to extract them from EHRs many years ago. This is a clear-cut instance where AI is not only effective but better than humans in annotating and surfacing important context for the healthcare provider. #AI #healthcare https://lnkd.in/eGMkjGFQ
Mehdi Jamei’s Post
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AI tool converts physicians' discharge notes into simpler language to understand. Access NYU Langone Health research. #AI #ArtificialIntelligence #Healthcare https://lnkd.in/eYmJSyNi.
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Check out Microsoft's latest research on advancing health at the speed of AI at KDD 2023! #Microsoft #KDD2023 #AI #Health #Research #MicrosoftResearch #MicrosoftAI
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Account Strategist at SCORR Marketing, Project Lead and Spokesperson at Clinical Trials For All
Great article from Ross Jackson on recommended uses of #AI in #ClinicalResearch to improve patient engagement and increase access to research among diverse communities! I am eager to see how the industry implements AI in the coming years and see how patients receive these new innovations. #ClinicalTrialsForAll #ResearchAsCare #PatientCentricity https://lnkd.in/eJxrnciA
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Fascinating article on how generative AI is being used to identify social determinants of health in medical notes. 🧠🩺 Social determinants of health are the conditions in the environment where people live, learn, work, play, worship, and age that affect a wide range of health, functioning, and quality-of-life outcomes and risks. 🏡 By leveraging generative AI, researchers were able to successfully extract social determinants of health data from clinician notes, even in complex sentences. This is a real game-changer for identifying patients who need additional support. 🔎 https://lnkd.in/gP8JwuZZ #generativeAI #socialdeterminantsofhealth #healthcaretech #healthcare #artificialintelligence #socialcascade
Generative AI can identify social determinants of health data in notes, study finds
healthcaredive.com
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As healthcare costs continue to rise, many Americans are looking to artificial intelligence to provide cost-reducing solutions. Make sure to catch this panel recap from the 13th annual UNC Business of Healthcare Conference, discussing the limitations, risks and ethical questions surrounding AI solutions in healthcare. 🌐 Read more about how experts separated the AI hype from reality here: https://lnkd.in/efbj2NBR #KenanInstitute #KIPE #HealthcareInnovation #AI
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Time is of the essence in clinical trials - we all know this! That’s why we built LINK to transform existing data into lay summary language using advanced machine learning. This cuts weeks of manual work and paves the way for enhanced transparency and patient engagement. See how it works: https://lnkd.in/dZiJcqE #machinelearning #plainlanguagesummaries #clinicaltrials #medicalwriting #transparency #ai #HealthLiteracyMonth #BeTransparent
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Data is core to AI in healthcare. Check out this great article!
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jamanetwork.com
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Battling Health Misinformation: How AI is Making a Difference
liv-life.co
Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
3moIt's fascinating to witness the transformative potential of LLMs in healthcare, particularly in the realm of Social Determinants of Health (SDoH). Your insights underscore the pivotal role AI plays in augmenting human capabilities, especially in tasks requiring nuanced context extraction from vast datasets like electronic health records (EHRs). Drawing parallels with historical advancements, the integration of AI echoes past revolutions in healthcare, from the advent of medical imaging to the implementation of electronic records. Considering this, how do you envision the continued evolution of AI-driven solutions in healthcare, and what ethical considerations do you believe are paramount as these technologies become increasingly intertwined with patient care?