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 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 🙏

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

All 3 papers ( #openaccess ) now out in the The BMJ on the **Evaluation of clinical prediction models**

part 1: tinyurl.com/3h4zfvfw

part 2: tinyurl.com/ynytrpmx

part 3: tinyurl.com/2cfc9uj3

#stats #MachineLearning #predictiveanalytics

ICYMI
BMJ series: Evaluation of Clinical Prediction Models

part 1: from development to external validation
bmj.com/content/384/bm…

part 2: undertaking an external validation study
tinyurl.com/4jv7bnxe

part 3: calculating the sample size for external validation (out Monday!)

Need some guidance on transparent reporting? Head to the EQUATOR Network for guidelines on:

✅ Registration
☑️ Protocols
✅ Datasharing
☑️ Codesharing

#reproducibility #reportingguidelines #transparentresearch #openscience

Look out for the final instalment of this 3 part series evaluating clinical prediction models coming out on Monday in the The BMJ - the last one is

'Calculating the sample size required for an external validation study'

Underpinning #openscience in health research ( #registration , #protocols , #datasharing , #codesharing ) & #reproducibility is complete & transparent reporting & reporting guidelines are integral component

Visit the EQUATOR Network website equator-network.org

#researchintegrity

NEW PAPER in The BMJ (with Richard Riley (R²)) - 1st in a 3 part series on the ‘Evaluation of clinical prediction models’. Part 1 is ‘from development to external validation’.
—> tinyurl.com/n8fy5xvj

Look forward to another CSM (Gary Collins 🇪🇺) led international initiative coming out shortly (in press) defining a set of consensus-based reporting standards for #ArtificialInteligence based prediction models.

#MachineLearning #transparency #stats #reportingstandards

In case you missed it 👇