Our recently published paper showing #AI can achieve excellent classification between patients with and without peripheral neuropathy, without image segmentation
https://t.co/YkmIftvHSM
@AlamUazman @LivuniILCaMS@StPaulsNews@GroupENA@DiabetologiaJnl
@LivHospitals & @LivUni are building a device that will be able to detect early signs of #diabetes
This will help reduce the life changing complications patients face as a result of the disease.
Read the full story➡ https://t.co/sOn1N4DzVY
@RadioCity967
@DiabetesUK
Painful Diabetic Peripheral Neuropathy: Practical Guidance and Challenges for Clinical Management
A strongly recommended review from @AlamUazman
https://t.co/al26sfzmRD
Scientists from @livuni & @ManMetUni have been awarded £1.4m to create an early test for Diabetic Peripheral Neuropathy (DPN), a complication caused by diabetes and which costs the NHS billions.
Read more➡️https://t.co/0Kur5sLBKT
@livunihls@LivuniILCaMS @livuniresthemes
An impressive talk by Dr @AlamUazman on Artificial Intelligence in Corneal Confocal Microscopy: A Diagnostic Paradigm Shift at the #CCM a surrogate endpoint for Neurodegeneration in Clinical trials conference @WCMQatar in #Qatar
@elinorchapman@amaranwosu I did yes for my Research & Scholarship project in 2nd & 3rd year! We must have crossed paths at the time! Apologies for forgetting!
Five free-to-read papers from our March issue highlighted by the editor @hinmul with summaries written by the authors https://t.co/bUXcaDLYP8 #editorspicks#diabetesresearch
Artificial intelligence utilising corneal confocal microscopy #CCM to quantify the corneal nerve morphology as a surrogate marker for neuropathy in prediabetes & diabetes has made the front cover of the @DiabetologiaJnl
Congrats @FrankGPreston @AlamUazman
https://t.co/8kPFDmuiC3
Proud that our paper made the front cover of the @DiabetologiaJnl March issue!
Images include corneal confocal microscopy #CCM images and images of the attribution-based explainability methods we used to help explain the #AI algorithm
@AlamUazman @GroupENA@LivuniILCaMS
Our recently published paper in the @SAGE_Publishing Journal of Empirical Research on Human Research Ethics (JERHRE)
📝 It examines the effectiveness of several deidentification methods for facial photographs (graphical abstract below)
https://t.co/twwSEm64C7 🔓
Delighted to share that our Cochrane Diagnostic Accuracy SR protocol has been published! We will determine the diagnostic accuracy of corneal confocal microscopy for diagnosing diabetic sensorimotor peripheral neuropathy https://t.co/tuKqI8a9CS #health#science#diabetes