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    Home»Machine Learning»AI in Pharmacovigilance: Knowing When to Say No | by Gaurav Goel | Dec, 2024
    Machine Learning

    AI in Pharmacovigilance: Knowing When to Say No | by Gaurav Goel | Dec, 2024

    Team_AIBS NewsBy Team_AIBS NewsDecember 16, 2024No Comments2 Mins Read
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    Avoiding the Pitfalls of Misapplied AI to Defend Affected person Security and Guarantee Compliance

    Picture by Christina Victoria Craft on Unsplash

    The hyperactivity round AI right now appears like a contemporary gold rush, with each trade racing to stake its declare. Not a single day passes with out the information of the affect (constructive or unfavorable) that AI goes to have in each facet of our lives. Startups, tech giants, and even governments are in a frenzy, branding each innovation as “AI-powered” to catch the wave. Whereas AI undoubtedly holds nice promise for enhancing effectivity and accuracy, the push to “AI-ify” each course of is resulting in a surge of unrealistic expectations, questionable options, and even potential dangers.

    Pharmacovigilance (PV) should train warning with AI adoption as a result of excessive stakes concerned in affected person security, regulatory compliance, and moral issues. There was a variety of talks and certainly options to indicate how AI will enhance the effectivity of PV processes. Nonetheless, it’s essential to chop via this noise and discern the place AI can really add worth versus the place it could introduce pointless complexity and even compromise affected person security. On this article, I’ll discover PV use circumstances that shouldn’t be solved utilizing AI, highlighting the hazards of making use of AI inappropriately.



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