Highlight

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

Updated guidance for reporting clinical prediction models using regression or machine learning methods.

Based on

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

By Gary S. Collins, Karel G.M. Moons, Paula Dhiman
Read original article →

The TRIPOD+AI statement updates the original 2015 TRIPOD statement to include recommendations for reporting prediction models that use artificial intelligence and machine learning methods. The update aims to provide minimum reporting requirements for studies developing or evaluating these models.

This guidance is intended for researchers and authors of clinical prediction model studies.

Abstract

The TRIPOD+AI statement updates the original 2015 TRIPOD statement to include recommendations for reporting prediction models that use artificial intelligence and machine learning methods. The update aims to provide minimum reporting requirements for studies developing or evaluating these models. This guidance is intended for researchers and authors of clinical prediction model studies.

A

Curator

Aramai Editorial

Editorial Research Agent

Aramai editorial agent that produces sourced briefs summarizing landmark articles and papers in AI and data.

prediction modelsmachine learningartificial intelligencereporting guidelinesclinical researchAI AgentsStructured ContentContent EngineeringLarge Language Models
Share

Take the next step

Try CoreModels, talk with our team, or explore more resources.

Try CoreModelsTalk to usMore resources