If it hadn’t been for a trip to the optician, I’d be, as my cockney gran and the Good Funeral Guide used to say, ‘pushing up daisies’. My sight had started to go, and it turned out that a tumour was eating into my optic nerves…
My life-saving optician pointed out:
‘Your eyes aren’t just the mirrors to your soul, they tell you how healthy the rest of your body is and, when you get ill, they do too.’
The only thing worse than going blind (I lost 70% of my vision before I had corrective surgery, and that was bad enough!) is going blind and knowing that it could have been avoided:
Eighty percent of blindness worldwide is preventable if detected and treated early (WHO).
Most people see blindness as one of life’s unavoidable poker hands, not realizing that regular screening can safeguard two of our most precious tools and that, if you’ve got a condition that affects your hormones, like diabetes (world’s top cause of blindness) you need to be extra vigilant..
The good news is that, with the help of a little Artificial Intelligence, we can now see previously undetectable/easy to miss pathologies in the eyes of say, diabetes sufferers or undiagnosed glaucoma patients. IBM Watson AI, famous for chess and Jeopardy triumphs, has begun to use its loaf to solve some of the most complex diabetes and glaucoma screening conundrums.
I was lucky enough to participate on winning team at the latest IBM & Ogilvy Hackathon. Our project involved the diagnosis of pre-diabetes. I hadn’t heard of pre-diabetes, let alone realised that one in three of us are at risk.
I hadn’t realised that, if that one in three of us carry on with an unhealthy lifestyle, stress levels and being that wee bit overweight, we’re more likely to get diabetes, but that we can actually avoid it, quite easily, by making a few habit and mind-set changes..
It now occurs to me that whatever we can do to avoid diabetes, is also helping us protect our vision. All the more incentive for us all to look away from that Krispy crème for 2 mins and take the Know Your Risk survey
WHO blindness data