TRIPOD Statement
@tripodstatement.bsky.social
Reporting guidelines for clinical prediction (including for AI/ML)
TRIPOD-2015 (https://tinyurl.com/ywc8m624)
TRIPOD+AI (https://tinyurl.com/4s8f3ze6)
TRIPOD-LLM (https://tinyurl.com/y4ekxxre)
Visit -> www.tripod-statement.org
TRIPOD-2015 (https://tinyurl.com/ywc8m624)
TRIPOD+AI (https://tinyurl.com/4s8f3ze6)
TRIPOD-LLM (https://tinyurl.com/y4ekxxre)
Visit -> www.tripod-statement.org
Pinned
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
#MLSky #StatsSky #statistics #academia #EpiSky
Reposted by TRIPOD Statement
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
--> www.nature.com/articles/s41...
#HealthTech #ClinicalAI #MachineLearning #MedAI #AIinMedicine #TransparentAI #HealthInnovation #GenAI
November 7, 2025 at 12:44 PM
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
--> www.nature.com/articles/s41...
#HealthTech #ClinicalAI #MachineLearning #MedAI #AIinMedicine #TransparentAI #HealthInnovation #GenAI
Reposted by TRIPOD Statement
NEW PAPER "The STARD-AI reporting guideline for diagnostic accuracy studies using #artificialintelligence"
--> www.nature.com/articles/s41...
#machinelearning #MLsky #statssky #digitalhealth #transparency
--> www.nature.com/articles/s41...
#machinelearning #MLsky #statssky #digitalhealth #transparency
September 15, 2025 at 5:30 PM
NEW PAPER "The STARD-AI reporting guideline for diagnostic accuracy studies using #artificialintelligence"
--> www.nature.com/articles/s41...
#machinelearning #MLsky #statssky #digitalhealth #transparency
--> www.nature.com/articles/s41...
#machinelearning #MLsky #statssky #digitalhealth #transparency
Reposted by TRIPOD Statement
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
--> www.bmj.com/content/390/...
#methodologymatters #StatsSky #EpiSky
July 16, 2025 at 11:59 AM
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
--> www.bmj.com/content/390/...
#methodologymatters #StatsSky #EpiSky
Reposted by TRIPOD Statement
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
-> 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
June 26, 2025 at 7:33 PM
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
-> 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
Reposted by TRIPOD Statement
Maternal early warning scores shown to be methodologically weak and at high risk of bias - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
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).
www.jclinepi.com
May 25, 2025 at 8:50 PM
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 👇
(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
"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
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…
www.sciencedirect.com
June 2, 2025 at 4:34 PM
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 👇
(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 👇
Reposted by TRIPOD Statement
**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
"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
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…
www.sciencedirect.com
June 2, 2025 at 3:18 PM
**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
"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
Read the paper: bmj.com/content/385/...
#HealthTech
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...
bmj.com
May 20, 2025 at 7:31 AM
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
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
TRIPOD+AI -> tinyurl.com/39pz3rfd
PROBAST+AI -> tinyurl.com/yt8vrvrf
#Digitalhealth #healthcareAI #machinelearning
April 25, 2025 at 11:05 AM
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
TRIPOD+AI -> tinyurl.com/39pz3rfd
PROBAST+AI -> tinyurl.com/yt8vrvrf
#Digitalhealth #healthcareAI #machinelearning
Reposted by TRIPOD Statement
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...
Date: Mondays, 23 June – 14 July 2025
Time: 9:30 – 13:30 GMT+1
Where: Online via Zoom
bit.ly/equatorpubsc...
UK EQUATOR Centre Publication School
Fit for purpose: The secrets of success in writing, publishing, and disseminating research articles
bit.ly
April 11, 2025 at 1:44 PM
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...
Date: Mondays, 23 June – 14 July 2025
Time: 9:30 – 13:30 GMT+1
Where: Online via Zoom
bit.ly/equatorpubsc...
Reposted by TRIPOD Statement
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...
• 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...
UK EQUATOR Centre Publication School
Fit for purpose: The secrets of success in writing, publishing, and disseminating research articles
bit.ly
April 11, 2025 at 1:44 PM
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...
• 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
PROBAST+AI
www.bmj.com/content/388/...
TRIPOD+AI
www.bmj.com/content/385/...
#MLSky #StatsSky #digitalhealth #machinelearning
March 25, 2025 at 8:42 AM
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
PROBAST+AI
www.bmj.com/content/388/...
TRIPOD+AI
www.bmj.com/content/385/...
#MLSky #StatsSky #digitalhealth #machinelearning
Reposted by TRIPOD Statement
*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/...
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/...
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....
www.bmj.com
March 24, 2025 at 11:17 AM
*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/...
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/...
Reposted by TRIPOD Statement
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
www.bmj.com/content/388/...
#StatsSky #MLSky #AI #MethodologyMatters
March 24, 2025 at 11:53 AM
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
www.bmj.com/content/388/...
#StatsSky #MLSky #AI #MethodologyMatters
Reposted by TRIPOD Statement
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
www.bmj.com/content/385/...
#MLsky #StatsSky #MedSky #transparency #AI
January 25, 2025 at 12:16 PM
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
www.bmj.com/content/385/...
#MLsky #StatsSky #MedSky #transparency #AI
Reposted by TRIPOD Statement
[ #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
💬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
March 13, 2025 at 12:08 PM
[ #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
💬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
Reposted by TRIPOD Statement
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/...
👇This new paper provides insight into uncertainty of risk estimate on decision making
www.bmj.com/content/388/...
February 13, 2025 at 12:14 PM
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/...
👇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/...
👇This new paper provides insight into uncertainty of risk estimate on decision making
www.bmj.com/content/388/...
February 13, 2025 at 12:14 PM
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/...
👇This new paper provides insight into uncertainty of risk estimate on decision making
www.bmj.com/content/388/...
Reposted by TRIPOD Statement
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare www.bmj.com/content/388/... #artificialintelligence #healthcare #bioinformatics #ethics #trust
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...
www.bmj.com
February 7, 2025 at 4:12 PM
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
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
February 7, 2025 at 11:15 AM
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
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
Reposted by TRIPOD Statement
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
www.bmj.com/content/388/...
#StatsSky #MLSky #MedSky
February 5, 2025 at 11:18 AM
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
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
"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
Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic review - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...
Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic review
Having a sufficient sample size is crucial when developing a clinical prediction model.
We reviewed details of sample size in studies developing prediction models for binary
outcomes using machine lea...
www.jclinepi.com
January 25, 2025 at 1:40 PM
👇 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
"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
www.bmj.com/content/385/...
#MLsky #StatsSky #MedSky #transparency #AI
January 25, 2025 at 12:16 PM
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
www.bmj.com/content/385/...
#MLsky #StatsSky #MedSky #transparency #AI
Reposted by TRIPOD Statement
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
www.bmj.com/content/385/...
#MLSky #machinelearning #StatsSky #AI #reproducibility
December 13, 2024 at 9:42 AM
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
www.bmj.com/content/385/...
#MLSky #machinelearning #StatsSky #AI #reproducibility
Reposted by TRIPOD Statement
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/
January 16, 2025 at 12:44 AM
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/