A checklist for unlocking the promise of AI in clinical trials

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AI algorithms offer a myriad of advantages for clinical trials. AI techniques can, for instance, support patient enrollment and site selection, improve data quality and enhance patient outcomes. AI algorithms — combined with an effective digital infrastructure — can also help aggregate and manage clinical trial data in real time, as Deloitte has noted. Last week, a startup revealed an AI system that can accurately predict clinical trial outcomes.

Yet for organizations to fully realize AI’s promise is not simple. The task requires oversight, transparency and diverse collaboration. Core considerations include educating users to build trust in AI tools and ensuring the clinical precision of medical-grade AI algorithms. From unraveling the ‘black box’ of algorithms to safeguarding patient privacy, this article provides a checklist to help organizations responsibly incorporat…

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