
Lauren Oakden-Rayner 🏳️⚧️
@drlaurenor
Medical AI safety.
Director of Research @ nRAH Medical Imaging. Senior Research Fellow, Australian Institute for Machine Learning.
She/her 🏳️⚧️🏳️🌈
ID: 794346991627010048
https://laurenoakdenrayner.com/ 04-11-2016 01:14:15
7,7K Tweet
6,6K Followers
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[New paper] More than algorithms: an analysis of safety events involving ML-enabled medical devices reported to the FDA Study led by David Lyell with Farah Magrabi academic.oup.com/jamia/advance-…
![Enrico Coiera (@enricocoiera) on Twitter photo [New paper] More than algorithms: an analysis of safety events involving ML-enabled medical devices reported to the FDA
Study led by <a href="/David_Lyell/">David Lyell</a> with <a href="/FarahMagrabi/">Farah Magrabi</a>
academic.oup.com/jamia/advance-… [New paper] More than algorithms: an analysis of safety events involving ML-enabled medical devices reported to the FDA
Study led by <a href="/David_Lyell/">David Lyell</a> with <a href="/FarahMagrabi/">Farah Magrabi</a>
academic.oup.com/jamia/advance-…](https://pbs.twimg.com/media/FuBsiPFagAAQayA.jpg)

#Openaccess From our recent gender and diversity special issue: Fostering an inclusive workplace for LGBTQIA+ people in radiology and radiation oncology. ow.ly/RM6250NOuKb By Alix Bird, Evelyn Carroll, MD, Lauren Oakden-Rayner 🏳️⚧️, Judy Gichoya Janice Newsome MD FSIR @VZavaletta et al.

📣🥳 Excited to share our paper in JAMA Network Open describing the values of #youth regarding ethical issues in #HealthAI ! #AIEthics #bioethics #youthengagement We noted strong preferences and values expressed by The Hospital for Sick Children (SickKids) patients to guide ethical integration of AI 🧵/9

#RANZCR member Lauren Oakden-Rayner 🏳️⚧️ spoke to the The Sydney Morning Herald about AI application in radiology. “A couple of years ago, almost no radiologist would say they use it, now a fair percentage would say that they use it in their daily work” More > ow.ly/S7MA50O7oXU IMAGE CREDIT: D GEORGOPOULOS



1/ 🚨🚨 New paper alert 🚨🚨 Introducing RETFound, a foundation model for ophthalmology We’re super excited about this and hope it will act as a #Cornerstone for global efforts to prevent blindness through #AI UCL Institute of Ophthalmology Moorfields Eye Hospital NHS Foundation Trust #OpenAccess nature nature.com/articles/s4158…

So many people to thank, STANDING Together is truly a collaborative effort. The University Hospitals Birmingham @unibirm_MDS team keeping this show on the road: Joe Alderman Dr Elinor Laws Alastair Denniston Jo Palmer & Jazz Gill. Headline recommendations: datadiversity.org/recommendations - full report coming soon!

Our working group: datadiversity.org/people Marzyeh Melissa McCradden Mel Calvert @rnhmatin Stephen Pfohl Dr Stephanie Kuku MD Johan Ordish Darren Treanor Liz Sapey Stephen Pfohl Charlotte Summers Lauren Oakden-Rayner 🏳️⚧️ @hcolelewis Bilal A. Mateen Maxine Mackintosh Negar Rostamzadeh Katherine Heller

We are supporting and encouraging the use of large language models in submissions to NEJM AI. Read our rationale in this new editorial led by the inimitable Daphne Koller: ai.nejm.org/doi/pdf/10.105… and see the helpful thread by Andrew Beam below



Big News!! 🥳 Today I’m starting my new position at Australian Institute for Machine Learning in gorgeous Adelaide, Australia! 🇦🇺 Excited to be continuing my research in #AIEthics and #MachineLearning in Healthcare at University of Adelaide & with Adelaide Women’s & Children’s Hospital ❤️


The ICML Conference 2024 Ethics Chairs, Kristian Lum and Lauren Oakden-Rayner 🏳️⚧️, wrote a blog about the ethics review. Helpful for all authors and reviewers at ICML to better understand the process! medium.com/@icml2024pc/et… . . .

On this #IWD2024 - I’d like to acknowledge my appreciation of fabulous women that enrich my thinking - Lauren Oakden-Rayner 🏳️⚧️ @lanatikhomirov anna chur-hansen @mumwhostats Lauren Kennedy Dr. Mehwish Nasim Rachel A. Ankeny (she/her) Dr. Rachel Searston Melissa McCradden - there are many more not here

Super excited to share our new article outlining key differences between human cognition and AI in the context of radiology with @lanatikhomirov Melissa McCradden Dr. Rachel Searston and Lauren Oakden-Rayner 🏳️⚧️ 👇 authors.elsevier.com/sd/article/S25…

NEW Viewpoint: Medical artificial intelligence for clinicians: the lost cognitive perspective. Lauren Oakden-Rayner 🏳️⚧️ #AI Read it here: buff.ly/46rNeRz



AI's decisions can clash w/ clinicians' reasoning. In a Viewpoint for The Lancet Digital Health, @lanatikhomirov, Professor Carolyn Semmler, Melissa McCradden, Dr. Rachel Searston, JClinic PI Marzyeh, & Lauren Oakden-Rayner 🏳️⚧️ propose future research for clinician–AI interaction. thelancet.com/journals/landi…


Can you make a ‘good’ (ie, ethical & medicolegally accountable) decision using AI without explanations? Ian Stedman and I explore this Q & the reasonableness standard and we say YES Explaining decisions without explainability? Artificial intelligence a... sciencedirect.com/science/articl…
