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/...

"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

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

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

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

NEW PAPER "The STARD-AI reporting guideline for diagnostic accuracy studies using #artificialintelligence" --> www.nature.com/articles/s41... #machinelearning #MLsky #statssky #digitalhealth #transparency

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

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

Maternal early warning scores shown to be methodologically weak and at high risk of bias - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...

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 👇

**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

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

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

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...

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...

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

*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/...

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

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

[ #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

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/...

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/...

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare www.bmj.com/content/388/... #artificialintelligence #healthcare #bioinformatics #ethics #trust

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

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

👇 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

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

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

The TRIPOD-LLM reporting guideline for studies using large language models https://www.nature.com/articles/s41591-024-03425-5 (read free: https://rdcu.be/d5Nh3) 🧬🖥️🧪 web app: https://tripod-llm.vercel.app/

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

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...

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

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

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...

Paper: nature.com/articles/s41... Interactive checklist: tripod-llm.vercel.app

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

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

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

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

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

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

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

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

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

Navigating the future: #AI at NICE #EvidenceSynthesis #ClinialGuidelines #webinar youtu.be/hKuTRt89OCs?...

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

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

NEW PREPRINT A detailed overview of 32 popular predictive performance metrics for prediction models arxiv.org/abs/2412.10288

We've made the move across...so here’s a little thread introducing the various TRIPOD reporting guidelines to provide standards for #transparency and completeness of clinical prediction models to facilitate #reproducibility and guide #openscience #MLSky #StatsSky #statistics #academia #EpiSky

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