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TRIPOD Statement

@tripodstatement.bsky.social
513 followers 5 following 41 posts

Reporting guidelines for clinical prediction (including for AI/ML) TRIPOD-2015 (tinyurl.com/ywc8m624) TRIPOD+AI (tinyurl.com/4s8f3ze6) TRIPOD-LLM (tinyurl.com/y4ekxxre) Visit -> www.tripod-statement.org

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TRIPOD Statement @tripodstatement.bsky.social · 12/02/2026
We are setting out to develop some new recommendations (TRIPOD-CODE) to provide guidance on reporting the availability and structure of code for predictive AI healthcare tools Watch this space, and read the protocol here link.springer.com/article/10.1... #transparency #code #reproducibility
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TRIPOD Statement @tripodstatement.bsky.social · 12/02/2026
We are setting out to develop some new recommendations (TRIPOD-CODE) to provide guidance on reporting the availability and structure of code for predictive AI healthcare tools Watch this space, and read the protocol here link.springer.com/article/10.1... #transparency #code #reproducibility
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TRIPOD Statement @tripodstatement.bsky.social · 27/01/2026
Looking to assess adherence to TRIPOD+AI? We have a new #openaccess paper in @jclinepi.bsky.social "Adherence to TRIPOD+AI guideline: an updated reporting assessment tool" --> linkinghub.elsevier.com/retrieve/pii... #machinelearning #AI #metascience #transparency
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Gary Collins @gscollins.bsky.social · 19/12/2025
End of year reminder: the TRIPOD+AI reporting guideline is reporting standard for all clinical prediction model studies, including those using machine learning and AI. --> www.bmj.com/content/385/...
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Gary Collins @gscollins.bsky.social · 19/12/2025
"The making of a statistician: Doug Altman" - just published in @bmj.com celebrating his 1 million citations and reflecting on his remarkable career and legacy. One of the most influential statisticians in modern medical research. --> www.bmj.com/content/391/... #BMJChristmas #methodologymatters
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TRIPOD Statement @tripodstatement.bsky.social · 15/12/2025
In TRIPOD+AI (tinyurl.com/4s6pmz5d) we ask authors to report the performance of their #AI model, this new authoritative position paper provides clarity on what measures should (and should not) be reported and why --> tinyurl.com/bdehp3ht #predictiveAI #machinelearning #digitalhealth #transparency
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TRIPOD Statement @tripodstatement.bsky.social · 15/12/2025
In TRIPOD+AI (tinyurl.com/4s6pmz5d) we ask authors to report the performance of their #AI model, this new authoritative position paper provides clarity on what measures should (and should not) be reported and why --> tinyurl.com/bdehp3ht #predictiveAI #machinelearning #digitalhealth #transparency
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Gary Collins @gscollins.bsky.social · 07/11/2025
NEW PAPER: "Reporting guidelines for studies involving generative artificial intelligence applications: what do I use, and when?" --> www.nature.com/articles/s41... #HealthTech #ClinicalAI #MachineLearning #MedAI #AIinMedicine #TransparentAI #HealthInnovation #GenAI
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Gary Collins @gscollins.bsky.social · 15/09/2025
NEW PAPER "The STARD-AI reporting guideline for diagnostic accuracy studies using #artificialintelligence" --> www.nature.com/articles/s41... #machinelearning #MLsky #statssky #digitalhealth #transparency
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Gary Collins @gscollins.bsky.social · 16/07/2025
NEW PAPER in @bmj.com "Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guide" --> www.bmj.com/content/390/... #methodologymatters #StatsSky #EpiSky
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Gary Collins @gscollins.bsky.social · 26/06/2025
NEW PREPRINT "Critical Appraisal of Fairness Metrics in Clinical Predictive AI" -> arxiv.org/abs/2506.17035 We identified 62 fairness metrics (and growing) - unsurprisingly it's all a bit of a mess...with most metrics not fit for purpose #predictiveAI #fairness #machinelearning #StatsSky #MLSky
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Journal of Clinical Epidemiology @jclinepi.bsky.social · 25/05/2025
Maternal early warning scores shown to be methodologically weak and at high risk of bias - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
jclinepi.com
Maternal early warning scores shown to be methodologically weak and at high risk of bias
To systematically review and critically appraise the methodology of developing Modified Obstetric Early Warning Scores (MOEWSs).
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TRIPOD Statement @tripodstatement.bsky.social · 02/06/2025
Item 10 of the TRIPOD+AI asks (www.bmj.com/content/385/...) "Explain how the study size was arrived at, and justify that the study size was sufficient to answer the research question. Include details of any sample size calculation" Here's why it's important 👇
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Richard Riley (R²) @richarddriley.bsky.social · 02/06/2025
**New Lancet DH paper** "Importance of sample size on the quality & utility of AI-based prediction models for healthcare" - for broad audience - explains why inadequate SS harms #AI model training, evaluation & performance - pushback to claims SS irrelevant to AI research 👇 tinyurl.com/yrje52fn
sciencedirect.com
Importance of sample size on the quality and utility of AI-based prediction models for healthcare
Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. On…
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TRIPOD Statement @tripodstatement.bsky.social · 20/05/2025
A guideline to boost transparency in AI-driven medical prediction models! Evolved from TRIPOD, it ensures studies are reproducible, ethical, and clinically meaningful. Crucial for trustworthy #AI in healthcare. Read the paper: bmj.com/content/385/... #HealthTech
bmj.com
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
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 studie...
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TRIPOD Statement @tripodstatement.bsky.social · 25/04/2025
Complete and transparent reporting aids critical and assessing risk of bias in #predictiveAI. TRIPOD+AI and PROBAST+AI are key tools to improve #AI research in healthcare TRIPOD+AI -> tinyurl.com/39pz3rfd PROBAST+AI -> tinyurl.com/yt8vrvrf #Digitalhealth #healthcareAI #machinelearning
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EQUATOR Network @equatornetwork.bsky.social · 11/04/2025
Early-career researchers and students in health research! Join the UK EQUATOR Centre's Publication School to learn how to plan, write, and publish excellent journal articles. Date: Mondays, 23 June – 14 July 2025 Time: 9:30 – 13:30 GMT+1 Where: Online via Zoom bit.ly/equatorpubsc...
bit.ly
UK EQUATOR Centre Publication School
Fit for purpose: The secrets of success in writing, publishing, and disseminating research articles
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EQUATOR Network @equatornetwork.bsky.social · 11/04/2025
Health researchers, have you ever wondered how to: • Negotiate authorship • Choose a journal • Develop good writing habits • Write each section of an article • Revise your own writing • Respond to peer review The UK EQUATOR Centre's Publication School is here to help! bit.ly/equatorpubsc...
bit.ly
UK EQUATOR Centre Publication School
Fit for purpose: The secrets of success in writing, publishing, and disseminating research articles
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TRIPOD Statement @tripodstatement.bsky.social · 25/03/2025
The new PROBAST+AI tool to assess quality & risk of bias of #predictive#AI models in healthcare is predicated on good reporting, i.e., by following the TRIPOD+AI guidance PROBAST+AI www.bmj.com/content/388/... TRIPOD+AI www.bmj.com/content/385/... #MLSky #StatsSky #digitalhealth #machinelearning
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Richard Riley (R²) @richarddriley.bsky.social · 24/03/2025
*NEW PAPER* PROBAST+AI: an updated quality, risk of bias & applicability assessment tool for prediction models using regression or AI methods PROBAST+AI consists of two distinct parts: - model development (quality assessment tool) - model evaluation (risk of bias tool) www.bmj.com/content/388/...
bmj.com
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
The Prediction model Risk Of Bias ASsessment Tool (PROBAST) is used to assess the quality, risk of bias, and applicability of prediction models or algorithms and of prediction model/algorithm studies....
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Gary Collins @gscollins.bsky.social · 24/03/2025
NEW PAPER in the @bmj.com "PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or #artificialintelligence methods" www.bmj.com/content/388/... #StatsSky #MLSky #AI #MethodologyMatters
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TRIPOD Statement @tripodstatement.bsky.social · 25/01/2025
A periodic reminder that if you are writing up your study developing/validating a #machinelearning clinical prediction model then make sure you are reporting all the necessary information by following the TRIPOD+AI standards 😁 www.bmj.com/content/385/... #MLsky #StatsSky #MedSky #transparency #AI
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SESSTIM @sesstim.bsky.social · 13/03/2025
[ #Webinar ] D-8 until our next webinar! ⤵️ 💬The importance of transparency in predictive AI: the role of reporting guidelines 🗣️ @gscollins.bsky.social (@ox.ac.uk) 💻https://sesstim.univ-amu.fr/fr/content/webinar-quantim-gary-collins
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TRIPOD Statement @tripodstatement.bsky.social · 13/02/2025
TRIPOD+AI (Expanded E&E): "If uncertainty intervals for individual prediction model outputs have been presented then provide details on how this was done" (www.bmj.com/content/385/...) 👇This new paper provides insight into uncertainty of risk estimate on decision making www.bmj.com/content/388/...
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TRIPOD Statement @tripodstatement.bsky.social · 13/02/2025
TRIPOD+AI (Expanded E&E): "If uncertainty intervals for individual prediction model outputs have been presented then provide details on how this was done" (www.bmj.com/content/385/...) 👇This new paper provides insight into uncertainty of risk estimate on decision making www.bmj.com/content/388/...
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Jason Moore @moorejh.bsky.social · 07/02/2025
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare www.bmj.com/content/388/... #artificialintelligence #healthcare #bioinformatics #ethics #trust
bmj.com
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. This paper describes the FUTURE-AI f...
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TRIPOD Statement @tripodstatement.bsky.social · 07/02/2025
Underpinning the FUTURE-AI recommendations 👇 is transparency Reporting guidelines like TRIPOD+AI are essential to ensure all key details are completely & transparently reported Get them here -> www.bmj.com/content/385/... #predictiveAI #machinelearning #trustworthyAI #healthcareAI #digitalhealth
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Gary Collins @gscollins.bsky.social · 05/02/2025
NEW PAPER in @bmj.com "FUTURE-AI: international consensus guideline for trustworthy and deployable #artificialintelligence in healthcare" from design, development, validation to regulation, deployment & monitoring www.bmj.com/content/388/... #StatsSky #MLSky #MedSky
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TRIPOD Statement @tripodstatement.bsky.social · 25/01/2025
👇 Item 10 of TRIPOD+AI "Explain how the study size was arrived at (separately for development and evaluation), and justify that the study size was sufficient to answer the research question. Include details of any sample size calculation" www.bmj.com/content/385/... #MLSky #StatsSky
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TRIPOD Statement @tripodstatement.bsky.social · 25/01/2025
A periodic reminder that if you are writing up your study developing/validating a #machinelearning clinical prediction model then make sure you are reporting all the necessary information by following the TRIPOD+AI standards 😁 www.bmj.com/content/385/... #MLsky #StatsSky #MedSky #transparency #AI
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TRIPOD Statement @tripodstatement.bsky.social · 13/12/2024
When we developed TRIPOD+AI for reporting clinical prediction models, we introduced an #openscience section to facilitate transparency and reproducibility asking authors to describe protocol, code, data availability www.bmj.com/content/385/... #MLSky #machinelearning #StatsSky #AI #reproducibility
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Stephen Turner @stephenturner.us · 16/01/2025
The TRIPOD-LLM reporting guideline for studies using large language models www.nature.com/articles/s41591-024-… (read free: rdcu.be/d5Nh3) 🧬🖥️🧪 web app: tripod-llm.vercel.app
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TRIPOD Statement @tripodstatement.bsky.social · 13/01/2025
TRIPOD+AI (www.bmj.com/content/385/...) ask authors to 'Report model performance estimates with confidence intervals' This preprint by STRATOS provides a critical overview of the properties of 32 commonly reported performance measures -> arxiv.org/abs/2412.10288 #MLSky #StatsSky #machinelearning
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TRIPOD Statement @tripodstatement.bsky.social · 13/01/2025
ICYMI: Last week, led by @daniellebitterman.bsky.social, we published the TRIPOD-LLM recommendation for reporting biomedical studies using large language models. www.nature.com/articles/s41...
nature.com
The TRIPOD-LLM reporting guideline for studies using large language models - Nature Medicine
TRIPOD-LLM (transparent reporting of a multivariable model for individual prognosis or diagnosis–large language model) is a checklist of items considered essential for good reporting of studies that a...
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TRIPOD Statement @tripodstatement.bsky.social · 08/01/2025
Great to see "TRIPOD+AI and DECIDE-AI are the highest quality guidelines with respect to rigor of development and the involvement of the stakeholders" 😄 in academic.oup.com/jamiaopen/ar... Get TRIPOD+AI from www.bmj.com/content/385/... #MLSky #StatsSky #MedSky
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TRIPOD Statement @tripodstatement.bsky.social · 08/01/2025
We have a NEW PAPER in @naturemedicine.bsky.social on reporting recommendations for addressing the unique challenges of #largelanguagemodels (LLMs) in biomedical applications www.nature.com/articles/s41... #MLSky #StatsSky #medSky #AISky #artificialintelligence #generativeAI #transparency
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Duke AI Health @dukeaihealth.bsky.social · 09/01/2025
New article in Nature Medicine by Gallifant and colleagues debuts the TRIPOD-LLM reporting guidelines for research with large language models: www.nature.com/articles/s41...
nature.com
The TRIPOD-LLM reporting guideline for studies using large language models - Nature Medicine
TRIPOD-LLM (transparent reporting of a multivariable model for individual prognosis or diagnosis–large language model) is a checklist of items considered essential for good reporting of studies that a...
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Danielle Bitterman MD @daniellebitterman.bsky.social · 08/01/2025
Paper: nature.com/articles/s41... Interactive checklist: tripod-llm.vercel.app
tripod-llm.vercel.app
Tripod + LLM
A checklist for LLM research development.
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Danielle Bitterman MD @daniellebitterman.bsky.social · 08/01/2025
TRIPOD-LLM is out! Check out our consensus guidelines for reporting #LLM research in biomedicine. TRIPOD-LLM is intended to be a living guideline to keep up with the rapid advances in LLMs. Kudos to lead author Dr. Jack Gallifant
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TRIPOD Statement @tripodstatement.bsky.social · 08/01/2025
Great to see "TRIPOD+AI and DECIDE-AI are the highest quality guidelines with respect to rigor of development and the involvement of the stakeholders" 😄 in academic.oup.com/jamiaopen/ar... Get TRIPOD+AI from www.bmj.com/content/385/... #MLSky #StatsSky #MedSky
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TRIPOD Statement @tripodstatement.bsky.social · 08/01/2025
We have a NEW PAPER in @naturemedicine.bsky.social on reporting recommendations for addressing the unique challenges of #largelanguagemodels (LLMs) in biomedical applications www.nature.com/articles/s41... #MLSky #StatsSky #medSky #AISky #artificialintelligence #generativeAI #transparency
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EQUATOR Network @equatornetwork.bsky.social · 29/12/2024
2024 saw release of the CHEERS guidance for reporting economic evaluations of health technologies that use #AI www.valueinhealthjournal.com/article/S109... #artificialintelligence #reporting #transparency
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EQUATOR Network @equatornetwork.bsky.social · 29/12/2024
2024 saw a major update of the TRIPOD reporting standards for #artificialintelligence and #machinelearning in healthcare www.bmj.com/content/385/... (guidance) www.bmj.com/content/385/... (opinion piece) #statsSky #MLSky #transparency #reportingstandards #AI
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TRIPOD Statement @tripodstatement.bsky.social · 24/12/2024
2024 saw us publish TRIPOD+AI, a major update to the TRIPOD reporting guideline for studies developing/evaluating prediction models using #machinelearning and statistical methods. Ensure your study is completely reported by following TRIPOD+AI bmj.com/content/385/... #AI #StatsSky #MLSky
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TRIPOD Statement @tripodstatement.bsky.social · 23/11/2024
An overview on how and why TRIPOD+AI was developed can by found in this short piece by lead author @gscollins.bsky.social tinyurl.com/57dknawu
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TRIPOD Statement @tripodstatement.bsky.social · 23/11/2024
In April 2024, we updated TRIPOD to reflect methodological advances (including sample size, #fairness, #openscience) and to make it agnostic to modelling approach, and cater for #machinelearning methods (we called this TRIPOD+AI). tinyurl.com/2kc39b4s
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TRIPOD Statement @tripodstatement.bsky.social · 16/12/2024
In TRIOPD+AI we ask authors "Report model performance estimates with confidence intervals, including for any key subgroups (eg, sociodemographic). Consider plots to aid presentation" www.bmj.com/content/385/... This new paper gives an overview of the various measures 👉 arxiv.org/abs/2412.10288
arxiv.org
Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
A myriad of measures to illustrate performance of predictive artificial intelligence (AI) models have been proposed in the literature. Selecting appropriate performance measures is essential for predi...
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Melissa Sharp-Crowe, MPH, PhD² @sharpmelk.bsky.social · 16/12/2024
Navigating the future: #AI at NICE #EvidenceSynthesis #ClinialGuidelines #webinar youtu.be/hKuTRt89OCs?...
youtu.be
Navigating the future: AI at NICE virtual event
YouTube video by National Institute for Health and Care Excellence (NICE)
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Ben Van Calster @benvancalster.bsky.social · 16/12/2024
New work in preprint! "Performance evaluation of predictive AI models to support medical decisions: Overview and guidance". Under the wings of the STRATOS initiative. But @maartenvsmeden.bsky.social said it better already 😜 arxiv.org/abs/2412.10288
arxiv.org
Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
A myriad of measures to illustrate performance of predictive artificial intelligence (AI) models have been proposed in the literature. Selecting appropriate performance measures is essential for predi...
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TRIPOD Statement @tripodstatement.bsky.social · 16/12/2024
In TRIOPD+AI we ask authors "Report model performance estimates with confidence intervals, including for any key subgroups (eg, sociodemographic). Consider plots to aid presentation" www.bmj.com/content/385/... This new paper gives an overview of the various measures 👉 arxiv.org/abs/2412.10288
arxiv.org
Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
A myriad of measures to illustrate performance of predictive artificial intelligence (AI) models have been proposed in the literature. Selecting appropriate performance measures is essential for predi...
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