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    Home | Haclab - 7 month(s) ago

    AI mimics human intelligence to support healthcare workers through improving diagnosis and… Read more While healthcare algorithms can improve prediction and diagnosis, they often “bake in” bia… Read more While most healthcare data comes from claims and electronic health record “exhaust”, incre… Read m ore Real-world data is data that is generated through routine health operations, often in the … Read more Cancer care is in the midst of a revolution in digital health innovations, payment reform,…

    Source: haclab.org
    Categories: Hem/Oncs, Latest Headlines
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      ravi_b_parikh

      RT @HACLab_UPenn: 🚨New featured project on https://t.co/8XyUryXQNI! 🚨 PROStep was an RCT that utilized weekly PROs and step count monitor…

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    How do we regulate AI in healthcare? | Haclab - 11 month(s) ago

    This has been on the minds of the Food and Drug Administration (FDA), as it has released several pieces of guidance for using AI in areas such as drug development and software as a medical device over the past 5 years.   The intention of these documents is to try to stay ahead of the rapid expansion of AI into clinical care. Over 500 AI and machine learning devices have been cleared by the FDA –…

    Source: haclab.org
    Categories: Hem/Oncs, Latest Headlines
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      ravi_b_parikh

      Check out our latest @HACLab_UPenn blog post - how is #ArtificialIntelligence regulated in #healthcare “, and how should it be? https://t.co/tgGzlJlWd2 https://t.co/lcBsVyCfSo

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    Welcome to the Human-Algorithm Collaboration Lab (HACLab)! | Haclab - 1 year(s) ago

    Artificial intelligence and machine learning are trendy buzzwords in healthcare. There’s reason for that: AI and ML technologies, when analyzed “in silico”, seem revolutionary. Some artificial intelligence tools may diagnose cancers better than most radiologists. Others may predict the development of cardiovascular disease years before symptoms or lab abnormalities arise. The potential is huge…

    Source: haclab.org
    Categories: Hem/Oncs, Latest Headlines
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      ravi_b_parikh

      We've developed a playbook for moving from #algorithm development to implementation to scale. Ongoing focus areas also include AI policy and bias, real-world data, and patient-generated health data. Check out our intro blog post!: https://t.co/TaL33awpE9 https://t.co/gRmmew5S2C

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    Home | Haclab - 1 year(s) ago

    What We Do AI mimics human intelligence to support healthcare workers through improving diagnosis and… Read more While healthcare algorithms can improve prediction and diagnosis, they often “bake in” bia… Read more …

    Source: haclab.org
    Categories: Hem/Oncs, Latest Headlines
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      ravi_b_parikh

      Please reach out via https://t.co/JhaH2tmbPA or at haclab@pennmedicine.upenn.edu with ideas, concepts, or questions! We're interested in partnerships across variety of industries and are looking forward to hearing from you!

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      ravi_b_parikh

      Our lab's website is live! https://t.co/JhaH2tmbPA. The HACLab (Human Algorithm Collaboration Lab @HACLab_UPenn) designs and implements advanced #algorithms for health #policy & #clinical care. Our goal: Solve the "last-mile" problem of #AI and #MachineLearning in healthcare (🧵) https://t.co/mTVjNru0Ww https://t.co/lLD2QugVpe