When we look at the retina after dilating a patient's pupils, we look for changes in the blood vessels in the retina in addition to other findings. For example, arterial narrowing is usually seen in hypertensive retinopathy, basically uncontrolled hypertensive patients. Machine learning is probably able to correlate the magnitude of narrowing of blood vessels to different grades of cardiovascular risk. Maybe changes too early to detect by humans or changes too minute to grade by humans can be done easily by training a machine learning model.
EDIT : @dbddv01 has kindly shared a link regarding use of AI in ophthalmology, you might find this interesting!
Thank you so much for your kind words. I am a beginner myself. You did tell me that you created an account with Artbreeder and that you were interested in learning Blender. Yeah, so hope you finish your work soon and can have fun later. Thanks for reading my post and for the bookmark :)
Huh. WOW. That is fantastic!
I will definitely checkout @dbddv01 link as I am one of the millions of women around the world- especially Australia, where heart problems do not get considered, tested, diagnosed- even AFTER heart attacks.
There has been so much new evidence over the past few years (and even decades) with cardiologists- only some and not many in Australia....that are finally acknowledging that women have heart attacks which has nothing to do with a build up of plaque in their arteries, so I wonder if this kind of ai learning could detect a person with Printemetals Angina (first found in 1959 by Dr Printzmetal) AKA Variant Angina AKA Unstable Angina AKA CAVS- Coronary Artery Vaso Spasms....Imagine if it could...that would be wonderful for soooo many people around the world, then they wouldn't have to go through a decade of being ignored, mistreated and disrespected by arrogant cardiologists and doctors like I have...
Yeah so creativity here we come....😃
Get regular ECGs done at least if not anything else.
Looking forward to your art now:)