Benin (Fand), Con 50-60 Mln possibile dotare centri diabete e case di comunità di retinografo con IA
(Adnkronos) - “Screening retinopatia diabetica fondamentale per prevenire le complicanze sull’occhio. Per raggiungere più persone con diabete importante andare sul territorio e formare personale in grado di usare questi strumenti e che possano indirizzare la persona con sospetta retinopatia dal diabetologo, che se necessario lo invierà dall’oculista”
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00:00 [Music]
00:03 Screening for diabetic retinopathy is essential to prevent the complications that diabetes can bring to the eye,
00:16 so loss of sight and other complications that, obviously, if not diagnosed early, then this strongly develops the costs at the health level.
00:30 What we have to say is that today, as today, we still have limits that I would frame in two aspects, one is structural and the other is organizational.
00:41 In terms of structure, if we go, for example, to examine how many community centers there are and how many diabetological centers,
00:51 we will more or less go around 2,000-2,200 stations, so if we had every structure of a retinographer,
01:00 maybe with artificial intelligence, because we don't have many oculists to be able to see things in real time,
01:08 artificial intelligence would help me a lot to do the screening, the amount that one goes to invest is really irrisory,
01:15 we are talking about 50-60 million euros, in short, it is not so much a cost issue as the organization of these retinographs
01:24 at or the community centers and the diabetological centers would be strategic to be able to do this screening.
01:32 Why do I say community centers? Because it is on the territory that the screening can be done,
01:38 because if we have 4 million people, not all of them go to the diabetological centers,
01:45 but 30-40%, so I would lose a large number of diabetics who go differently,
01:52 so to get these, maybe even to a percentage of 80%, I must necessarily go to the territory and therefore to the community centers.
01:59 But there are also very important organizational aspects, because if on the one hand we are unable to equip the diabetological centers
02:06 and the community centers of a retinographer with artificial intelligence,
02:11 on the other hand, from an organizational point of view, I must be able to train people who know how to use these tools.
02:19 And since artificial intelligence allows me to do an initial screening,
02:26 so it already makes me understand if that person can run into an eye problem or not,
02:32 so this would already solve several problems for me, then this should go to the diabetologist,
02:39 who then obviously indicates it, says "look, you are in a critical situation and therefore I send you to the ophthalmologist to do a deep look".
02:48 This is very important because there are very few ophthalmologists,
02:53 and therefore I cannot load them with thousands and thousands of people,
02:57 so I have to send them those who are, I don't say certain, but almost certain that a problem could develop.
03:04 And so the organizational structure is important here to be able to coordinate all these activities.