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Our new study looking at completeness of reporting of #MachineLearning based clinical prediction models against the TRIPOD Statement (tinyurl.com/5wyzrucx). Findings will feed into our upcoming guidance for reporting #MachineLearning prediction models) Gary Collins Carl Moons

Are you developing or validating a prediction model using artificial intelligence? The new TRIPODStatement extension is on its way! TRIPOD-AI is registered as a reporting guideline under development with us: equator-network.org/library/report…

Our #openaccess protocol is now available in BMJ_Open describing the methods to develop TRIPOD-AI reporting guideline and PROBAST-AI risk of bias tool for #MachineLearning prediction models. (tinyurl.com/48832st2)

Newly published protocols in BMJ_Open describing our development process behind upcoming reporting guidelines & risk of bias tools for #MachineLearning based clinical prediction model studies (tinyurl.com/48832st2) & diagnostic test accuracy studies (tinyurl.com/hufn5haz)

The recording of "Statistical literacy in health research in the age of machine learning and artificial intelligence" is now available on the Royal Statistical Society YouTube channel! NIHR Statistics Group Gary Collins Xiao Liu SPIRIT-AI & CONSORT-AI TRIPODStatement youtu.be/iY4yZv65vMI

"Commentary: Reporting Guidelines for Studies on #ArtificialIntelligence: What Neurosurgeons Should Know" (tinyurl.com/7de6zbs3) - highlighting CONSORT-AI & SPIRIT-AI and upcoming STARD-AI & TRIPOD-AI / PROBAST-AI EQUATOR Network SPIRIT-AI & CONSORT-AI STARD-AI TRIPODStatement

Announcing a new initiative in Nature Medicine to develop a quality assessment tool for #ArtificialIntelligence-centered diagnostic test accuracy studies: QUADAS-AI => tinyurl.com/vk3haae8

New quality assessment tool QUADAS-AI for #AI diagnostic accuracy studies, compliments upcoming reporting standards STARD-AI. Led by the brilliant Viknesh Sounderajah plus an incredible team:

Great to see SPIRIT-AI & CONSORT-AI evidence standards in the World Health Organization (WHO) framework for #AI in cervical cancer screening, as well as EQUATOR Network STARD-AI TRIPODStatement

Fantastic to see reporting guidelines included in this World Health Organization (WHO) evidence generation framework for AI-based medical devices! Includes CONSORT Statement, SPIRIT, SPIRIT-AI & CONSORT-AI, DECIDE-AI, STARD-AI, and TRIPODStatement-ML.

Just launched the 2nd (and final) round of the TRIPOD-AI Delphi survey seeking consensus on how to report studies developing/validating #MachineLearning based clinical prediction models. DM me if you want to participate. #statstwitter #mltwitter #ml4h #medtwitter #epitwitter

NEW piece in Annals of Surgery (led by Viknesh Sounderajah) setting the scene for upcoming reporting guidelines for #AI / #MachineLearning based diagnostic test accuracy (STARD-AI) & model development/validation studies (@TRIPOD-AI) tinyurl.com/2p8tt886 #ml4h #mltwitter #statstwitter

Our thoughts regarding ethics methods in AI reporting guidelines As ever, writing this alongside authorities in reporting guidelines, AI and bioethics has been a real pleasure & education Xiao Liu Melissa McCradden Sherri Rose Gary Collins @dmoher Patrick Bossuyt nature.com/articles/s4225…

SUPER excited this paper is now out. The facade of a division between ethics and science has contributed to the problems we now face when trying to make AI equitable. To better support #ethicalAI and #healthequity using AI in healthcare we must... 1/5

NEW Research: 'AI recognition of patient #race in medical imaging: a modelling study'. #ArtificialIntelligence @EmoryRadiology ASU School of Computing and Augmented Intelligence @IUPUInformatics MIT IMES BIDMC Department of Medicine U of T Department of Computer Science MIT EECS Stanford Medicine Australian Institute for Machine Learning FSU College of Medicine Duly Health and Care bit.ly/3l30hlH

Just published today Nature Medicine! Reporting of early-stage evaluation of #AI: specifically focussing on feasibility, human factors and safety. Great to be part of this initiative spearheaded by ⭐️Baptiste Vasey⭐️Peter McCulloch & the DECIDE-AI team! nature.com/articles/s4159…

what some people might expect. Read more in MIT News: news.mit.edu/2022/artificia… (2/2)

"#AI applied to breast cancer treatment outcomes documented limited external validation & model calibration, with substantial risk of bias, significant gaps in reporting, and poor code & data availability" - tinyurl.com/msuehv3y Use TRIPOD tinyurl.com/9cmr5fc2 #mltwitter

4/6 We have a special interest in trials of new technologies, #AI in healthcare and the #microbiome. If you are submitting a trial in one of these areas, make sure that you submit the relevant checklist with your paper. SPIRIT-AI & CONSORT-AI stormsmicrobiome.org

Calling all patients, carers, healthcare professionals, and researchers working on or using #clinicaltrials: Help shape the next update of the CONSORT and SPIRIT reporting guidelines! Sign up here to have your say on what should be included: ndorms.ox.ac.uk/octru/methodol…