TRIPODStatement @TRIPODStatement

Reporting guidelines for clinical prediction (including for AI/ML) TRIPOD+AI (https://t.co/Z1UKuwdaSS) TRIPOD-LLM (https://t.co/09Pdjb0uS0) tripod-statement.org Joined September 2013

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Xiaoxi @xiaoxi_6

6 days ago

Thank you @Anaes_Journal for the incredible opportunity to share our work! Grateful to the GRAITE-USRA steering group, all Delphi experts & endorsing societies for their invaluable contributions, insights & support. A true multidisciplinary effort to improve AI reporting in RA 🙏🏼

𝘈𝘯𝘢𝘦𝘴𝘵𝘩𝘦𝘴𝘪𝘢 @Anaes_Journal

6 days ago

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Bright Huo @brighthuo

2 months ago

Attention #AI researchers, clinicians, patients, editors, publishers, & beyond👋 Just in 🖨️ - the #CHART reporting guideline ✅ for studies evaluating #genAI models like #ChatGPT & other #LLMs for health advice Statement: 👉bit.ly/CHARTbmjmed 👉bit.ly/CHARTbjs…

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Gary Collins @GSCollins

2 months ago

NEW PAPER in @bmj_latest "Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guide" --> bmj.com/content/390/bm… #methodologymatters

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Nan Liu, Duke-NUS @nliulab

3 months ago

🌏 Advancing international partnership for governing generative #AI (#GenAI) models in #medicine and #healthcare. We introduce POLARIS-GM initiative: a scenario-based, consensus-driven framework for GenAI #governance and #regulation. @NatureMedicine nature.com/articles/s4159…

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Gary Collins @GSCollins

3 months ago

NEW PREPRINT "Critical Appraisal of Fairness Metrics in Clinical Predictive AI" -> arxiv.org/abs/2506.17035 We identified 62 fairness metrics (& growing) - unsurprisingly it's all a bit of a mess...with most metrics not fit for purpose #predictiveAI #fairness #machinelearning

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TRIPODStatement @TRIPODStatement

4 months ago

Item 10 of the TRIPOD+AI asks (bmj.com/content/385/bm…) "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 👇

Richard Riley (R²) @Richard_D_Riley

4 months ago

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The BMJ @bmj_latest

5 months ago

Reporting guidelines have become an essential instrument of scientific integrity. We need to make the leap from just producing reporting guidelines to helping researchers put them into practice, writes @GSCollins bmj.com/content/389/bm…

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TRIPODStatement @TRIPODStatement

8 months ago

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 🙏 tinyurl.com/4kv7pb3m #transparency #AI

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TRIPODStatement @TRIPODStatement

8 months ago

Underpinning the FUTURE-AI recommendations 👇 is transparency TRIPOD+AI recommendations are essential to ensure all key details are completely & transparently reported bmj.com/content/385/bm… #predictiveAI #machinelearning #trustworthyAI #healthcareAI #digitalhealth

The BMJ @bmj_latest

8 months ago

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The BMJ @bmj_latest

8 months ago

This paper describes the FUTURE-AI framework, which provides guidance for the development and deployment of trustworthy AI tools in healthcare, @KarimLekadir and colleagues bmj.com/content/388/bm…

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Jayson Marwaha, MD MSc @Jayson_Marwaha

9 months ago

"Advances in LLMs have stretched regulatory structures to their limits, exposing a patchwork of solutions that do not fully encompass the nuances of these models." New @EQUATORNetwork guideline for biomedical applications of LLMs by @dbittermanmd et al: nature.com/articles/s4159…

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Sanjeeva Reddy Dodlapati @dodlapati_reddy

9 months ago

10/ 🌐 Learn more and access the guideline here: nature.com/articles/s4159… Together, we can ensure AI advances responsibly, improving healthcare outcomes while minimizing risks. Let’s build a fair, transparent AI future! 🌟 #AI4Good

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Sanjeeva Reddy Dodlapati @dodlapati_reddy

9 months ago

1/ 🌟 Exciting news for healthcare AI! The TRIPOD-LLM guideline sets new standards for reporting studies involving large language models (LLMs) in healthcare. A game-changer for transparency and reproducibility. Here’s a deep dive! 🧵👇 #AIinHealthcare #LLMs