
Gary Collins
@GSCollins
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Statistician • Professor • University of Oxford • NIHR Senior Investigator • 🚴♂️ Google scholar: https://t.co/uLlSuvlHi2 On BlueSky @gscollins.bsky.social
Joined May 2011
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. #ArtificialIntelligence #AIstandards #OpenAccess. Please share 🙏
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RT @Cacciamani_MD: What is the #CHART reporting guideline designed to improve in chatbot health-advice studies?. 📌 Key Findings.-Systematic….
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RT @Cacciamani_MD: [via @uroAI_news] Guideline Sheds Light on Best Practices for Reporting AI-Powered Health Chatbot Studies https://t.co/….
uroai.org
Read this comprehensive article about Guideline Sheds Light on Best Practices for Reporting AI-Powered Health Chatbot Studies at UroAI — your trusted source for urological health information and...
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RT @Cacciamani_MD: Chatbot Studies Guideline: CHART.📑 12 items, 39 subitems for clear CHA study reporting.🌐 531 stakeholders in consensus p….
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RT @AnnFamMed: Developed by an international team of clinicians, researchers, and journal editors, the Chatbot Assessment Reporting Tool (C….
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RT @SanjanaCho26602: Take part in our survey and help shape how trial results are shared with patients & the public. 🔊 Final round open!.📝….
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NEW PAPER: the CHART reporting guideline for studies evaluating generative AI models like #ChatGPT & other #LLMs for providing health advice. The explanation & elaboration paper. #genAI #chatbots #healthadvice #reporting
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RT @bmj_latest: This reporting guideline offers advice on how to report studies that evaluate the performance of generative AI-driven chatb….
bmj.com
The Chatbot Assessment Reporting Tool (CHART) reporting guideline promotes transparent and comprehensive reporting of studies evaluating the performance of generative artificial intelligence (AI)-d...
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RT @brighthuo: Attention #AI researchers, clinicians, patients, editors, publishers, & beyond👋.Just in 🖨️ - the #CHART reporting guideline….
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RT @Richard_D_Riley: New paper in BMJ (Research Methods & Reporting):. “Dealing with continuous variables and modelling non-linear associat….
bmj.com
Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods...
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RT @bmj_latest: This article provides an overview of the current state of handling continuous variables in healthcare research. It discus….
bmj.com
Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods...
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RT @LopezAyalaP: Thrilled to see our work published in @bmj_latest. A practical guide on why categorizing continuous variables or assuming….
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RT @f2harrell: Outstanding paper! Especially suited for non-statisticians who want to get started with relaxing linearity assumptions with….
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NEW PAPER in @bmj_latest "Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guide" . --> #methodologymatters
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RT @NIHRresearch: 🚨 Applications are now open for the NIHR Senior Investigators Cohort 19. Our Senior Investigators are among the most pr….
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NEW PAPER in @JClinEpi looking at the content of open peer-review reports of RCTs in the field of oncology . Peer review reports [. ] were short (median 276 words), superficial, and rarely constructive #metascience #peerreview #RCTs
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RT @nliulab: 🌏 Advancing international partnership for governing generative #AI (#GenAI) models in #medicine and #healthcare. We introduce….
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NEW PREPRINT "Critical Appraisal of Fairness Metrics in Clinical Predictive AI".-> . We identified 62 fairness metrics (& growing) - unsurprisingly it's all a bit of a mess. with most metrics not fit for purpose. #predictiveAI #fairness #machinelearning
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RT @Richard_D_Riley: ** New preprint led by Joao Matos & @GSCollins . "Critical Appraisal of Fairness Metrics in Clinical Predictive AI". -….
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RT @decdevane: Maternal early warning scores shown to be methodologically weak and at high risk of bias - Journal of Clinical Epidemiology….
jclinepi.com
To systematically review and critically appraise the methodology of developing modified obstetric early warning scores (MOEWSs).
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