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📢COME WORK WITH US!📢 Daniel Alexander and I are looking for a post doc with deep learning experience for medical imaging to come and work with us UCL Institute of Ophthalmology Moorfields Eye Hospital NHS Foundation Trust UCL CMIC Work will focus on the 6M+ images of the #AlzEye study Msg me for informal enquiries.

In our previous research (facemaskresearch.com), we’ve found that N95 masks are incredibly effective at blocking coronavirus sized particles. Our latest findings suggest that even a gap in the seal of 1.5mm2 may be enough to compromise that protection doi.org/10.1017/dmp.20…

In our latest paper below, we explore how simple techniques can improve the fit of surgical and KN95 masks. As well as testing techniques that had been suggested in existing literature, we also sought to try fit hacks that gained social media attention

I think that synthetic data will soon become of the biggest innovations of the 21st century. There is great potential to augment research, protect privacy and improve patient outcomes. However, as with any innovation there will be unintended consequences: doi.org/10.1016/S0140-…

Brilliant tips from AnalystX on the Ten Commandments for building a thriving community #DataAnalytics #AnalystX Health Economics Unit

Great to see STANDING Together mentioned in the UK roadmap for AI as a Medical Device. We are busy going through the comments from Delphi round 1. Round 2 will be open in early November! STANDING Together

A huge thank you to panellists liz mear Terry Parlett @LauraisinLondon Prof Kennedy Cruickshank Debashish Das Andrew Davies Chris Donnellan Keith Errey Nausheen hameed Des Holden Avi Mehra Prof Stephen Morris Dr Laura Sheard Prof Anthony Wierzbicki Anmol Arora Josephine (Josie) Tapper

A huge thank you to our panellists liz mear, Terry Parlett, Andrew Davies, Chris Donnellan Keith Errey Des Holden Prof John Hurst Avi Mehra Prof Andrew Menzies-Gow Prof Stephen Morris Najib M Rahman Dr Laura Sheard Dr Alison Smith Prof Wisia Wedzicha Anmol Arora Josephine (Josie) Tapper

Correspondence in The Lancet The promise of large language models in health care doi.org/10.1016/S0140-… #GatorTron #BERT #ChatGPT #LLM #LargeLanguageModel #Bias #Algorithm @medlibs #ukmedlibs HLG SIG @chlaabsc Medical Library Assn ALIA HLA

We are delighted to welcome Anmol Arora to our Editorial Board at Future Medicine AI! Anmol is an Academic Foundation Doctor Cambridge University. His research focusses on the use of #AI and machine learning in healthcare. Anmol Arora 🤖🧠 (1/5) bit.ly/417k1rN

Really interesting to hear Geoffrey Hinton speak at King’s College Cambridge about the current state of AI. Reading work by Tegmark and Bostrom about existential threats is part of what first sparked my interest in AI so very exciting to listen to “the Godfather of AI” himself

"The role of artificial intelligence in health care is becoming an increasingly topical and controversial discussion." Anmol Arora explores Moravec's paradox and the fear of job automation in health care: hubs.li/Q01XYhP-0

Thanks Eric for all your support on this! This was a huge team effort... but, more than anyone, it was driven by the amazing Siegfried Wagner UCL Institute of Ophthalmology Moorfields Eye Hospital NHS Foundation Trust It's been a privilege to work with Siegfried for the last 6+ years on the #AlzEye study #FutureLeader #BestIsYetToCome

One of the most exciting papers in medical AI of the decade so far, creating the first foundational model in ophthalmology. Incredible work by Pearse Keane, Siegfried Wagner, Mark Chia, Yukun Zhou, Tim Liu and the team at Moorfields Eye Hospital NHS Foundation Trust, UCL Institute of Ophthalmology ... and there's so much more to come

Our latest paper on the value of #standards for health data and #AI has just been published in Nature Medicine! We consider how standards and guidelines can help tackle issues of bias and non-diversity in health data, as well as the challenges. nature.com/articles/s4159…

Important work from STANDING Together highlighting the need for guidelines to mitigate the risk of bias in health datasets that are not representative of patient populations. Xiao Liu Alastair Denniston Uni of Birmingham University Hospitals Birmingham

Routinely collected data = huge opportunities for improving care "GOSLING" a tool to help researchers prevent re-identification Well done Anmol Arora ! doi.org/10.1371/journa…

Want to know more about AI & Health Care but don’t know where to start? This fab article in FHJ of Royal College of Physicians, by Anmol Arora 𝚃𝚘𝚖 𝙻𝚊𝚠𝚝𝚘𝚗 💙 outlines recent successes (e.g. retinal diagnostics), & future challenges (regulation & education) sciencedirect.com/science/articl…

NEW Viewpoint: The urgent need to accelerate synthetic data privacy frameworks for medical research. Anmol Arora, Pearse Keane, Siegfried Wagner, @ml4cancer Read it here: buff.ly/49h2q5B

Maxine Mackintosh Lauren Oakden-Rayner 🏳️‍⚧️ Arjun (Raj) Manrai Puja Judit Kumuthini Lama Nazer Jarrel Seah Ashley Akbari Lorenzo Righetto Maria Charalambides Anmol Arora Charlotte Summers Liz Sapey University Hospitals Birmingham Uni of Birmingham Australian Institute for Machine Learning @MHRApress Massachusetts Institute of Technology (MIT) Google Health Imperial College London NIHR Birmingham Biomedical Research Centre (13/