🔥🔥🔥 New guidelines for reporting prediction models including AI models

⭐️TRIPOD-AI⭐️

Check out 👇 AASLD INASL EASLnews EASL Education BASL education feed APASL News Mamatha Bhat Sumeet Asrani Akash Roy Arun Valsan Gary Collins 🇪🇺

bmj.com/content/bmj/38…

ICYMI. Our latest #openaccess recommendations for reporting #AI / #machinelearning prediction model studies in healthcare are out in the The BMJ

bmj.com/content/385/bm…

Don't forget there is further brief guidance for each recommendation in the supplementary material

Other key #AI reporting guidelines include
CLAIM pubs.rsna.org/doi/10.1148/ry…
STARD-AI bmjopen.bmj.com/content/11/6/e…
DECIDE-AI bmj.com/content/377/bm…
CONSORT-AI nature.com/articles/s4159…
SPIRIT-AI bmj.com/content/370/bm…
PRISMA-AI nature.com/articles/s4159…
CHEERS-AI medrxiv.org/content/10.110…

A short @BMJ_latest opinion piece by me on TRIPOD+AI and its development can be found here

bmj.com/content/385/bm…

NEW PAPER out today in @BMJ_latest TRIPOD+AI: reporting recommendations for studies developing or validating prediction models for use in healthcare that use #machinelearning methods

bmj.com/content/385/bm…

#ArtificialIntelligence #AIstandards #OpenAccess

Please share 🙏

TRIPOD+AI is a new reporting guideline led by @UniofOxord researcher Gary Collins 🇪🇺 for #artificialintelligence studies developing or validating prediction models in healthcare powered by #machinelearning methods

bmj.com/content/385/bm…

#OxfordAI #ethicalAI

Wow - so pleased to see TRIPOD+AI published today in The BMJ

Brilliantly led by Gary Collins 🇪🇺

Provides a guideline for transparent reporting of studies developing or evaluating AI-based prediction models (eg, using machine learning or regression) in healthcare

The TRIPOD+AI statement consists of a 27 item checklist to report in a prediction model study, and an expanded checklist that provides guidance for each item. The recommendations are agnostic to the modelling approach (e.g., #machinelearning or regression)

Building on the original TRIPODStatement (tinyurl.com/ywc8m624) we developed TRIPOD+AI following the EQUATOR Network guidance for developing reporting guidelines involving an international multi-stakeholder consensus process with 200+ experts and patient & public contributors

ICYMI👇. Only when #machinelearning studies are completely & transparently reported can they be trusted, have value to inform #regulatory approval, be included in clinical guidelines & influence health policy

TRIPOD+AI -> bmj.com/content/385/bm…

#ArtificialIntelligence

In case you missed it, already forgot about it or if you are desperately looking for reading material for the weekend: TRIPOD+AI came out this week 👇

bmj.com/content/385/bm…

Doing healthcare research developing or evaluating prediction models using #artificalintelligence ( #machinelearning )?

TRIPOD+AI is the latest reporting guideline to be included in our library (tinyurl.com/34u5hsye)

The full paper can be found here (bmj.com/content/385/bm…)

The new TRIPOD+AI statement can help guide the writing of research on #artificialintelligence in healthcare to improve the transparency and usefulness of reporting, argues @GScollins TRIPODStatement
bmj.com/content/385/bm…

So happy to see TRIPOD-AI published in The BMJ led by Gary Collins 🇪🇺.

Special thanks to Gary Collins 🇪🇺 and TRIPODStatement for letting me participate in the TRIPOD-AI Delphi exercise.

Our latest guidance on international consensus-based reporting standards (TRIPOD+AI) for #machinelearning prediction models in healthcare now available in the @BMJ_latest

bmj.com/content/385/bm…

#ArtificialInteligence

TRIPOD now includes reporting standards for machine learning for clinical applications

We desperately needed standards to evaluate AI model in healthcare. Huge thanks to the authors 🙏

New update of the TRIPOD+AI statement promotes best practice in reporting clinical prediction models, TRIPODStatement #AI
bmj.com/content/385/bm…

NEW #OpenAccess paper (led by Paula Dhiman) in Journal of Clinical Epidemiology 'Prediction model protocols indicate better adherence to recommended guidelines for study conduct and reporting'

sciencedirect.com/science/articl…

Findings will feed into TRIPOD-P (guidance for protocols)

nature.com/articles/s4225…

In this recent 3 part series in the The BMJ, CSM colleagues & collaborators provide guidance on evaluating predictions models

Part 1 discusses the importance of a meaningful evaluation, exploring heterogeneity, fairness & generalisability

tinyurl.com/3h4zfvfw