NEW #opensaccess paper "Evidence of unreliable data and poor data provenance in clinical prediction model research and clinical practice" link.springer.com/article/10.1... #researchintegrity #dataprovenance #predictionmodels #predictiveAI

🚨 Protocol -> preregistration -> preprint -> publication 🚨 125 clinical prediction model articles developed on unreliable data on stroke and diabetes. Since preprinting our results 7 articles have been retracted. doi.org/10.1186/s129...

What influences whether researchers adhere to healthcare reporting guidelines successfully? A thematic synthesis Read more here link.springer.com/article/10.1... #transparency #reportingguidelines

What a fantastic synthesis that looks into why researchers use/adhere to #ReportingGuidelines (And I'm not just saying that because my PhD work was cited in it and evaluated as 💫valuable💫 on the CASP checklist😜) link.springer.com/article/10.1...

This paper is worth it for table 1 alone. 👏 @sabinehoffmann11.bsky.social @boulesteixlaure.bsky.social et al onlinelibrary.wiley.com/doi/10.1002/...

NEW #openaccess PAPER in Lancet Digital Health “Critical appraisal of fairness metrics for artificial intelligence-based clinical prediction models” www.thelancet.com/journals/lan... #predictiveAI #digitaltech #AI #machinelearning #datascience #fairness #healthequity

*** NEW PAPER *** The CRT-Estimands Framework - a consensus based extension of the ICH E9(R1) addendum for cluster randomised trials - now been published in the @bmj.com. -> www.bmj.com/content/393/... + commentary in @jama.com -> jamanetwork.com/journals/jam... @unibirmingham.bsky.social

💬 Viewpoint: The #CRT-Estimands Framework defines five key attributes for cluster randomized trials, clarifying treatment effect and supporting accurate result interpretation for clinical stakeholders. ja.ma/4wG0Vcx

In a new preprint, the authors identify 124 peer-reviewed papers which used provenance-unknown Kaggle data to train AI for stroke and diabetes risk. Some sets show impossible patterns, yet models of the models are already hitting clinics. #MedSky #MedAI

New BMJ Editorial out today from @rocher.lc and me: www.bmj.com/content/393/... - Biobank's response to the news that researchers have accidentally uploaded data to GitHub multiple times is insufficient & risks trust in the UK's health data ecosystem. Everyone needs to feel responsible for privacy.

Why we won’t be funding open access publishing any more - Cancer Research UK - Cancer News https://news.cancerresearchuk.org/2026/04/01/why-we-wont-be-funding-open-access-publishing-any-more/

Cancer Research UK withdraws funding for open access charges #OpenAccess #UK #WCRI2026 #WCRI www.researchprofessionalnews.com/rr-news-uk-o...

*NOW OPEN FOR BOOKING* - our 4-day online training course: "Statistical Methods for Risk Prediction & Prognostic Models" Provides statistical foundations for developing, validating & updating clinical prediction models Details: www.prognosisresearch.com/training-cou... Book: tinyurl.com/mw7jtjw3

Limited consensus in expert opinions on studies evaluating the design, conduct, analysis, or reporting of health research: a survey study - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...

Comment: Research funding cuts threaten a whole generation of scientists UK will suffer lasting consequences from disrupted talent pipeline, say Mike Lockwood and James Wild, president and president-elect of @royalastrosoc.bsky.social www.researchprofessionalnews.com/rr-news-uk-v...

✨ New open-access book✨ I’ve seen how powerful prediction models can be, but also how often they fall short. We wrote a book, covering not just development, but also when models are needed, and how to ensure real-world impact. www.maastrichtuniversitypress.nl/cpm

NEW PREPRINT: “A critical review of clinical prediction models in oncology: is this SEERious research?” --> doi.org/10.31222/osf... #ClinicalPredictionModels #ResearchIntegrity #ResearchWaste #metascience #metaresearch

Hi @medrxivpreprint.bsky.social. Two (meta-research type) preprints rejected today for being out of scope for not having a meta-analysis, yet you regularly accept and preprint these types of studies (without meta-analyses), any clues for inconsistent screening today?

Redundancies at research-intensive universities double in two years. www.researchprofessionalnews.com/rr-news-uk-u...

when your dataset is definitely real

Much of my work in meta-research is on finding problems in research, so I've seen a lot of bad practices. However, even I was shocked by hundreds of researchers publishing papers using data that is faked and has no data provenance. www.medrxiv.org/content/10.6.... Amazing work by my student Alex.

Job losses at UK research-intensive universities double in two years. Exclusive: Scale of redundancies branded a “disaster”. www.researchprofessionalnews.com/rr-news-uk-u...

We are setting out to develop some new recommendations (TRIPOD-CODE) to provide guidance on reporting the availability and structure of code for predictive AI healthcare tools Watch this space, and read the protocol here link.springer.com/article/10.1... #transparency #code #reproducibility

NEW #openaccess paper in @bmj.com led by the brilliant @matthewluney.bsky.social "Effectiveness of drug interventions to prevent delirium after surgery for older adults: systematic review and network meta-analysis of RCTs" --> www.bmj.com/content/392/... #NIHR #surgery #delirium

NEW #openaccess PAPER in BMJ Digital Health & AI "Public perceptions of health data sharing for artificial intelligence research: a qualitative focus group study in the UK" --> bmjdigitalhealth.bmj.com/content/2/1/... #digitalhealth #AI #publicperceptions #datasharing

Two openings for PhD candidates: 1️⃣ Use causal inference methods for early evaluation of the downstream effect of algorithms on patient outcomes. 👉 www.lumc.nl/en/about-lum... 2️⃣ Develop methods for evaluating patient predictions under different treatment options. 👉 www.lumc.nl/en/about-lum...

Interested in learning about IPD meta-analysis projects? Join me for a gentle introduction to the topic, in the seminar below (Wednesday Jan 28th 12 to 1pm GMT) www.ticketsource.co.uk/arcyorkshire...

Adherence to TRIPOD+AI guideline: An updated reporting assessment tool - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...

Delighted to share our new Perspective, published in the inaugural issue of @natureportfolio.nature.com 𝗡𝗮𝘁𝘂𝗿𝗲 𝗛𝗲𝗮𝗹𝘁𝗵. We shared opportunities and challenges of using large language models (LLMs) in global health. www.nature.com/articles/s44... #AI #LLM #Global #Health #DukeNUS

Large language models in global health. Perspective from Nan Liu and colleagues #AI #healthAI #LLM www.nature.com/articles/s44...

I launched version 3.0 of my browser extension "Lazy Scholar", a free in-browser research assistant. It opens automatically when you load an academic article. See: lazyscholar.org/2026/01/10/l...

Some people bring up (1) the cost of criticism and (2) that a lot of criticism has already been voiced but ignored. Both points are valid, so here are some suggestion for (1) reducing backlash and (2) increasing impact (from this talk of mine: juliarohrer.com/wp-content/u...

Doug Altman - an eternal inspiration for all medical statisticians and non-statistician medical researchers. #StatsSky #Statistics

End of year reminder: the TRIPOD+AI reporting guideline is reporting standard for all clinical prediction model studies, including those using machine learning and AI. --> www.bmj.com/content/385/...

"The making of a statistician: Doug Altman" - just published in @bmj.com celebrating his 1 million citations and reflecting on his remarkable career and legacy. One of the most influential statisticians in modern medical research. --> www.bmj.com/content/391/... #BMJChristmas #methodologymatters

Sequential sample size calculations and learning curves safeguard the robust development of a clinical prediction model for individuals - Journal of Clinical Epidemiology www.jclinepi.com/article/S089...

ICYMI: "Clinical prediction models using machine learning in oncology: challenges and recommendations" --> bmjoncology.bmj.com/content/4/1/... #machinelearning #digitalhealth #predictionmodels #methodsmatter

"How can funders avoid crossing the Szilard point?" The Szilard point is "the threshold at which the total cost of competing for a grant equals (or surpasses) the value of the available funding."

Doug Altman was an internationally renowned statistician who served as The BMJ’s chief statistical adviser. Read about life and work that made this statistician a "citation millionaire" #BMJChristmas www.bmj.com/content/391/...

ICYMI: NEW PAPER "Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance" --> doi.org/10.1016/j.la... #AI #Machinelearning #predictiveAI

NEW PAPER: A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models - part 2: time-to-event outcomes * Implemented via pmstabilityss module, facilitates models with precise & fair individual-level predictions rdcu.be/eUVam

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...

Machine learning has developed remarkable new ideas about how to develop prediction algorithms. But always baffled me why the field had to reinvent how to evaluate models. Here we show F score should not be used to evaluate medical prediction models link.springer.com/epdf/10.1186...

NEW PAPER The use of explainable AI in healthcare evaluated using the well known Explain, Predict and Describe taxonomy by Galit Shmueli link.springer.com/article/10.1...

What is the most profitable industry in the world, this side of the law? Not oil, not IT, not pharma. It's *scientific publishing*. We call this the Drain of Scientific Publishing. Paper: arxiv.org/abs/2511.04820 Background: doi.org/10.1162/qss_... Thread @markhanson.fediscience.org.ap.brid.gy 👇

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

Periodic reminder....😀 #Transparency is one of the six core principles underpinning the WHO guidance on #ethics and #governance of #ArtificialIntelligence for health --> who.int/publications... Important to adhere to the TRIPOD+AI reporting standards🙏 --> bmj.com/content/385/... #trustworthyAI

NEW paper "Clinical prediction models using machine learning in oncology: challenges and recommendations" --> tinyurl.com/2h2mcy5h #machinelearning #prediction #statssky #MLsky #methodsmatter

Health tests on the high street: Convenient or confusing? Public Webinar 🗓️ Tuesday 14 October THIS EVENING 6-7pm Register here www.eventbrite.com/e/health-tes... This evening, we are presenting the findings of our evaluations of supermarket self tests, summarising our BMJ papers