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 🙏

Had a great time at Nature Conferences speaking speak about STANDING Together, LLMs and ethical #AI at Wenzhou & hanging out with Maxine Mackintosh Judy Gichoya Melissa McCradden Pranav Rajpurkar James Zou Lorenzo Righetto

Brilliant stuff from Xiao Liu and Alastair Denniston

Spot on summary of the hype around medical AI, the scientific and regulatory realities, and the need to remain true to an evidence-based approach.

Excited to be sharing our review of clinical trials in medical AI covering where we stand in terms of evidence

NEW Comment from Alastair K Denniston and Xiaoxuan Liu: Responsible and evidence-based #AI : 5 years on.

Alastair Denniston Xiao Liu

Read it here: buff.ly/3WarVkF

Reflecting on the last 5y of #AI enabled healthcare in The Lancet Digital Health.

Alastair Denniston and I discuss how evidence, regulation, technology and priorities have shifted and the areas & direction our AI in health ecosystem needs to continue growing.

buff.ly/3WarVkF

I have been an advocate of better transparency in AI reporting for research (ahajournals.org/doi/full/10.11…) and the broader public (medicine.umich.edu/dept/lhs/news/…).

Really appreciated the opportunity to contribute to the new TRIPOD+AI guidelines to address the “how”: bmj.com/content/385/bm…

Can’t say enough how excited I am this is finally out!! Heads up to my colleagues in #bioethics #aiethics #researchethics that checklist items can be embedded into ethics review processes- helps us evaluate the project and helps researchers meet the standards from the get-go 😎

The TRIPOD+AI statement consists of a 27 item checklist to report in a prediction model study, and an expanded checklist that provides guidance for each item. The recommendations are agnostic to the modelling approach (e.g., #machinelearning or regression)

Happening in 10 mins!

Thanks for having me Annabelle Painter! Chatting about algorithmic #bias , health disparities, STANDING Together and the role of regulators in equitable #AI in healthcare.
Latest episode of Royal Society of Medicine's RSM Digital Health Section podcast: tinyurl.com/yjx8ytxv

Will Warburton Our second panel discuss the rise of AI and its use, from tools to predicting dementia to increasing operational efficiency, & the need to collaborate nationally and locally on strategic guidance and oversight #Shelford2024 Xiao Liu David Probert Dan Blackburn Jennifer Dixon

🌍Global Perspectives Digital Health🌏
A thoughtful new series on #AI in #LMIC settings, hosted by Shubs Upadhyay - thanks for having me on to chat about #healthdatapoverty and STANDING Together!

youtube.com/watch?v=m3Lo9B…

In a world where technological advances outpace the speed of policy and regulation, how do we ensure cutting-edge technologies are safe, and that regulatory requirements enable the potential benefits of AI?

Register now for this free event from NEJM AI: nejm.ai/3In5two

Department of Health and Social Care Equity in Medical Devices Report highlights STANDING Together as a tool for dataset curators, developers, and regulators to ensure data diversity.

Work by our colleagues Alastair Denniston Xiao Liu at STANDING Together Uni of Birmingham University Hospitals Birmingham

bbc.co.uk/news/health-68…

🗣️ Webinar: participation in AI research (1pm Weds 27th March)

Join us for this panel discussion on participatory research practice. What works? What doesn’t? And when budgets and time are limited, why should this be a priority?

Register for free: regulatoryscience.ai/turingfringe

#aiuk

Check our latest paper in British Journal of Anaesthesia!

Grateful to my co-authors Xiao Liu and Pearse Keane for their contribution to this work, where we discuss the need to for standardisation in the development and evaluation #AI devices in #regionalanaesthesia ...

authors.elsevier.com/a/1iX331dCDr12x

💉Calling all perioperative professionals💉
Help us understand how you use predictive models & clinical scores in practice - which models/scores are used most frequently & in what context. If you can spare 10-15 min, please consider completing the survey: periopprediction.co.uk/survey