Lauren Oakden-Rayner 🏳️‍⚧️ (@drlaurenor) 's Twitter Profile
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

linkhttps://laurenoakdenrayner.com/ calendar_today04-11-2016 01:14:15

7,7K Tweet

6,6K Followers

621 Following

Enrico Coiera (@enricocoiera) 's Twitter Profile Photo

[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-…

[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-…
JMIRO Journal (@jmiro_journal) 's Twitter Profile Photo

#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.

Melissa McCradden (@mmccradden) 's Twitter Profile Photo

📣🥳 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 (@ranzcrcollege) 's Twitter Profile Photo

#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

#RANZCR member <a href="/DrLaurenOR/">Lauren Oakden-Rayner 🏳️‍⚧️</a> spoke to the <a href="/smh/">The Sydney Morning Herald</a> 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 &gt; ow.ly/S7MA50O7oXU
IMAGE CREDIT: D GEORGOPOULOS
Melissa McCradden (@mmccradden) 's Twitter Profile Photo

🥳 Delighted to share our paper for #FAccT2023 on the development of an institutional ethics framework for operationalizing commitments to #justice #bioethics across the integration lifecycle of #HealthAI dl.acm.org/doi/10.1145/35…

Pearse Keane (@pearsekeane) 's Twitter Profile Photo

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…

Xiao Liu (@drxiaoliu) 's Twitter Profile Photo

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!

Arjun (Raj) Manrai (@arjunmanrai) 's Twitter Profile Photo

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

Andrew Beam (@andrewlbeam) 's Twitter Profile Photo

And not to bury the lede, but the site for NEJM AI is live today! Check out ai.nejm.org for new original research, perspectives, datasets + benchmarks, and more!

Xiao Liu (@drxiaoliu) 's Twitter Profile Photo

We are live with the launch of NEJM AI today, with a focus on clinical evidence for #AI in healthcare, diverse #datasets and #benchmarks! ai.nejm.org

Melissa McCradden (@mmccradden) 's Twitter Profile Photo

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 ❤️

Big News!! 🥳
Today I’m starting my new position at <a href="/TheAIML/">Australian Institute for Machine Learning</a> in gorgeous Adelaide, Australia! 🇦🇺 Excited to be continuing my research in #AIEthics and #MachineLearning in Healthcare at University of Adelaide &amp; with Adelaide Women’s &amp; Children’s Hospital ❤️
Zico Kolter (@zicokolter) 's Twitter Profile Photo

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… . . .

Professor Carolyn Semmler (@carolynsemmler) 's Twitter Profile Photo

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…

The Imaging Wire (@theimagingwire) 's Twitter Profile Photo

Imaging Wire #636 is now live Featuring… Should Patients Get Their Radiology Reports? How Do Patients Feel about Prostate AI? Do Radiologists and AI Think Differently? And much more… #RadTwitter theimagingwire.com/newsletter/rad…

Melissa McCradden (@mmccradden) 's Twitter Profile Photo

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…

Xiao Liu (@drxiaoliu) 's Twitter Profile Photo

One of my biggest joys is seeing an entire community take a stand for something important. STANDING Together, recommendations for health data diversity and algorithmic bias is now published: an international effort involving >350 experts & 58 countries. thelancet.com/journals/landi…