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@UCLeye@Moorfields#OpenAccess@Nature
https://t.co/DsvKgeUH5m
@cwcyau @unibirm_MDS @turinginst@Denniston_Ophth@adbeggs 🎉Thanks Chris! 🙂 I really enjoyed working on this one and look forward to the upcoming projects! Thanks again for the guidance and also to @kasparmartens for helpful discussions 🙏.
I am looking for the help of a Clinical Nurse Specialist and a Patient Advocate in the development of a research proposal on the use of Artificial Intelligence and Genomics in Cancer Treatment. Tweet or DM me if you are interested to find out more. Please retweet.
Apologies. Please find “A comparison of #deeplearning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis study” #OpenAccess@LancetDigitalH https://t.co/GXw6geesxa
Two new data hubs are to be led by Birmingham experts @e_sapey and @Denniston_Ophth: PIONEER will collect data on acute care and INSIGHT will focus on eye disease. The hubs will make data more accessible for research and pioneering new treatments https://t.co/nHKIPkdvsU
We've trained an unsupervised language model that can generate coherent paragraphs and perform rudimentary reading comprehension, machine translation, question answering, and summarization — all without task-specific training: https://t.co/sY30aQM7hU
UCL has held a special significance for DeepMind since @ShaneLegg and I met as postdocs in the Gatsby Unit. It means a lot to support the university's groundbreaking AI research with this new Professorship @UCLAlumni
Joint work from the Google Brain team, DeepMind, and Moorfields Eye Hospital (UK) on using deep learning from retinal images to predict refractive error (near/far sightedness). Could eventually make getting the right strength of glasses easier!
https://t.co/DAHjBQ3khQ