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TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

📅 April 16, 2024 👤 Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al. 📖 BMJ 📊 2,063 citations

🤖 Plain-English Summary

The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting recommendations for studies developing or evaluating the performance of a prediction model. TRIPOD+AI aims to promote the complete, accurate, and transparent reporting of studies that develop a prediction model or evaluate its performance.

🔑 Key Findings

  • Methodological advances in the field of prediction have since included the widespread use of artificial intelligence (AI) powered by machine learning methods to develop prediction models.
  • An update to the TRIPOD statement is thus needed.
  • TRIPOD+AI provides harmonised guidance for reporting prediction model studies, irrespective of whether regression modelling or machine learning methods have been used.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Apr 16, 2024
Journal BMJ
Authors Gary S. Collins, Karel G.M. Moons, Paula Dhiman, Richard D Riley, Andrew L. Beam
DOI 10.1136/bmj-2023-078378
Citations 2,063
Source OpenAlex

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