iiinova — where your digital self keeps evolving

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Ben Van Calster @benvancalster.bsky.social · 13/12/2025

Our guidance regarding performance measures for medical AI models is finally out! - Stop bashing AUROC, although it does not settle things - Calibration and clinical utility are key - Show risk distributions - Classification statistics (e.g. F1) are improper www.thelancet.com/journals/lan...

thelancet.com

Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance

Numerous measures have been proposed to illustrate the performance of predictive artificial intelligence (AI) models. Selecting appropriate performance measures is essential for predictive AI models i...

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Laure Wynants @laurewynants.bsky.social · 02/04/2025

What a great day yesterday! 🎉 Dr. Shan Gao and Dr. Elena Albu successfully defended their PhDs on the dynamic prediction of CLABSI using EHR data. A huge milestone after four years of dedicated research!

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Maarten van Smeden @maartenvsmeden.bsky.social · 24/03/2025

PROBAST+AI is out! A risk of bias tool for prediction models developed using any kind of analytical approach (stats/ml/ai/ds) Really proud of this collaboration with many prediction model experts around the world www.bmj.com/content/388/...

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Lasai Barreñada, "Lasso" @lasaibarrenada.bsky.social · 23/03/2025

I will be presenting our recent work on individual risk estimation uncertainty at ENAR in New Orleans. Come say hi! Work with @benvancalster.bsky.social @laurewynants.bsky.social #DoranneThomassen #EwoutSteyerberg

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Laure Wynants @laurewynants.bsky.social · 21/03/2025

Are you a statistician or health-economist who wants to develop new methods and who is interested in evaluating the role of diagnostic & prognostic prediction models and AI? We have an opening for a PhD position at Maastricht University! www.academictransfer.com/nl/jobs/3503...

academictransfer.com

PhD in Epidemiology on value-of-information from validating clinical prediction models and AI

Join Maastricht University as a PhD student in Epidemiology, advancing interdisciplinary methods to ensure reliable AI in healthcare through innovative statistical and health-economic approaches. Job ...

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Lasai Barreñada, "Lasso" @lasaibarrenada.bsky.social · 12/03/2025

NEW PREPRINT 📊: We propose 3 methods to obtain flexible calibration plots while accounting for clustering: 1. Clustered Group Calibration (CG-C) 2. Two-Stage Meta-Analysis Calibration (2MA-C) 3. Mixed Model Calibration (MIX-C) Ready-to-use R code included!

Different calibration plots taking clustering into account

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Alex Carriero @alcarriero.bsky.social · 27/01/2025

Happy to share the first paper of my PhD is published☺️! In case you like to use class imbalance corrections, maybe it is interesting. Let me know what you think! onlinelibrary.wiley.com/doi/10.1002/... Many thanks to @maartenvsmeden.bsky.social, @benvancalster.bsky.social, Anne, Kim and Carl !!

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Lasai Barreñada, "Lasso" @lasaibarrenada.bsky.social · 24/01/2025

Time to say goodbye to the Julius center and the beautiful city of Utrecht 👋 In just 4 short months, I’ve gained invaluable experiences, connections, and good memories. Grateful for the opportunity to grow in such an inspiring place and special thanks to @maartenvsmeden.bsky.social for hosting me 💙

Utrecht canal in extremely rare sunny weather

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Laure Wynants @laurewynants.bsky.social · 20/12/2024

We have two vacancies for a postdoctoral and PhD researcher at Maastricht University. They will work on the development and application of value-of-information methods for the validation of clinical risk prediction models and medical AI. links below

vacancies.maastrichtuniversity.nl

PhD in Epidemiology on value-of-information from validating clinical prediction models and AI

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Maarten van Smeden @maartenvsmeden.bsky.social · 16/12/2024

My favourite thing about the paper is this summary table

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Lasai Barreñada, "Lasso" @lasaibarrenada.bsky.social · 16/12/2024

Just out as preprint our overview of 32 performance measures for clinical prediction models. We recommend always including: AUROC, calibration plot, a clinical utility measure and a plot of probability distributions per outcome. Fully reproducible code in Pyhton and R: github.com/benvancalste...

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TRIPOD Statement @tripodstatement.bsky.social · 23/11/2024

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

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Lotta Meijerink @lottameijerink.bsky.social · 13/12/2024

Happy to share the first article of my PhD, which is now available as a pre-proof! We looked at methods used to adjust existing (AI/ML) clinical prediction models to new contexts, like different hospitals, clinical domains or to a specific individual. Curious to hear your thoughts!😃

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Stephen Senn @stephensenn.bsky.social · 25/11/2024

IMO it’s a mistake to give stats to 1st year med students. It’s not why they chose medicine & they resent it. Better to wait until they have developed some curiosity for it. I argued unsuccessfully for this during my time at UCL.

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