AI Predicting Clinical Trial Outcomes

AI Predicting Clinical Trial Outcomes

GPT-4o shows promise but struggles with negative outcome identification

This research evaluates how accurately Large Language Models can predict clinical trial outcomes, comparing performance across multiple metrics.

  • GPT-4o achieved the best overall performance among tested LLMs
  • All LLMs showed limitations in identifying negative outcomes
  • The specialized HINT model demonstrated superior ability in negative sample recognition
  • Performance varied across different clinical endpoints and trial characteristics

Why it matters: Accurate prediction of clinical trial outcomes could dramatically reduce pharmaceutical R&D costs, accelerate drug development timelines, and improve resource allocation in medical research.

Can artificial intelligence predict clinical trial outcomes?

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