Duke Health AI Evaluation & Governance Program
@DukeAIEvalGov
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Evaluating and overseeing algorithms integrated into healthcare practices
Durham , NC
Joined July 2024
Exciting News! @DukeAIEvalGovProgram proudly launches its new website. The Program promotes the safe, fair, and effective use of #AI in healthcare, ensuring AI innovations improve patient care ethically. Visit & explore here: 1/2
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North Carolina Public Radio (WUNC) reports on @DukeHealth's national leadership in health #AI governance, spotlighting two new evaluation frameworks developed by Duke researchers to assess the safety, reliability, and clinical performance of #LLMs.
wunc.org
Researchers are creating evaluation frameworks to ensure the safe usage of LLMs, like ChatGPT, at Duke Health
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👇@axios reports on how a team of Duke researchers led by Chief Data Scientist @PencinaPhd has developed two important evaluation frameworks to assess the safety, accuracy, and reliability of large language models (#LLMs) in clinical care. @DukeHealth.
axios.com
Health systems across the country are investing heavily in AI as a way to reduce burnout for providers and potentially improve care
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These frameworks offer a new approach to ensuring that #AI systems used in clinical settings meet the highest standards of quality and accountability:. Read the NPJ Digital Medicine paper here: Read the JAMIA paper here:
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Duke researchers, led by @PencinaPhd and Chuan Hong, have developed two pioneering frameworks designed to evaluate the performance, safety, and reliability of large language models (#LLMs) in healthcare. 1/2.
corporate.dukehealth.org
DURHAM, N.C. — Duke University School of Medicine researchers have developed two pioneering frameworks designed to evaluate the performance, safety, and reliability of large-language models in health...
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RT @DukeBiostats: Duke researchers led by #DukeB&B's Chuan Hong, PhD, have developed two frameworks to rigorously evaluate AI in health car….
corporate.dukehealth.org
DURHAM, N.C. — Duke University School of Medicine researchers have developed two pioneering frameworks designed to evaluate the performance, safety, and reliability of large-language models in health...
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New in @JAMAHealthForum: Duke’s @PencinaPhd and colleagues make a case for third-party enablers, smarter local governance, and shared evidence networks to make health #AI safe, scalable, and truly impactful. @DukeHealth @DukeMargolis.
jamanetwork.com
This Viewpoint describes opportunities for health care organizations to close gaps between the development and implementation of artificial intelligence using third-party enablers for training,...
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ATTN: Duke faculty, staff, and students: Join @DukeAIEvalGov for a webinar: 'Shaping the Future of Responsible Health #AI'. Learn how Duke is advancing the deployment of trustworthy and responsible AI across the institution. Register: (Duke login required)
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This is just the beginning! @DukeAIEvalGov welcomes collaborations and partnerships to shape an #AI-powered future that prioritizes trust, transparency, and transformative impact. Let’s build it together! Contact us: 2/2.
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As Evaluation Lead, you will collaborate across Duke’s academic and clinical teams to implement our #AI governance framework and help advance a nationally recognized model for responsible AI. Join us at the forefront of ethical, evidence-based AI in healthcare! 2/2.
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Passionate about making clinical #AI safer, fairer, and more effective? The @DukeAIEvalGov Program is looking for an Evaluation Lead to support our flagship ABCDS Oversight initiative. Apply now or share with someone who should: 1/2
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Dr. van Genderen also serves as the president of the Trustworthy and Responsible AI Network (TRAIN) Europe, which focuses on the operationalization of #AI throughout Europe. Learn more about @tudelft's and @ErasmusMC's REAiHL here:
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Thank you to all who joined @DukeAIEvalGov for a compelling seminar with Dr. Michel van Genderen, Associate Professor at @ErasmusMC and a thought leader in operationalizing responsible #AI, who shared insights from his work in #trustworthyAI development across Europe.
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The platform emphasizes traceability and transparency, catering to institutions that currently rely on manual governance workflows, such as spreadsheets, email, and chat, or smaller institutions that lack the dedicated resources for AI development and evaluation. 6/6.
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SAIGE will empower health care #AI professionals to shepherd new AI models through a standardized governance process, ensuring responsible implementation of AI within clinical workflows. 5/6.
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“We’re excited to have the opportunity to leverage our expertise and our Algorithmic-Based Clinical Decision Support (#ABCDS) methodology as the basis for a scalable platform.” 4/6.
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“The health care industry currently lacks a standardized governance process to implement trustworthy AI responsibly,” said @PencinaPhd, Duke Health’s chief data scientist. 3/6.
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The initiative advances @DukeHealth’s commitment to promoting ethical and responsible standards while employing the transformative power of #AI within clinical settings. 2/6.
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🤝@DukeHealth has partnered with @Avanade to design, build and implement a Smart AI Governance Engine (SAIGE), a-first-of-its-kind, healthcare-specific #AI governance platform that uses Microsoft Azure and Microsoft Fabric applications. 1/6
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