{
  "id": 9463,
  "url": "https://doi.org/10.1136/bmj-2023-078378",
  "title": "TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods",
  "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. 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 need",
  "authors": "Gary S. Collins, Karel G.M. Moons, Paula Dhiman, Richard D Riley, Andrew L. Beam, Ben Van Calster",
  "category": "research",
  "topics": "healthcare,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2024-04-16T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:57.572Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9463",
  "original_url": "https://doi.org/10.1136/bmj-2023-078378",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}