diabetes-related eye diseases and other conditions Venturing into other areas
of retinal care where AI has been making a profound impact,
Dr. Ramin Tadayoni then presented on the area of diabetic retinal/ macular disease Diagnosing.
Here, too, the utility has involved CFP imaging in order to identify warning signs of illness and provide avenues for treatment.
As this disease is so prevalent, affecting over one hundred million people worldwide, and demands a very long course of therapy to treat,
it simply requires enormous amounts of human resources which are simply unavailable ลาวสามัคคี วีไอพี.
The solution to this, according to Dr. Tadayoni, is that of computer systems capable
of performing tasks normally requiring human intelligence, and perhaps proving themselves even more capable in those specific capacities.
While the biomarkers indicating the presence and extent of diabetic retinopathy (DR) and diabetic macular edema (DME) differ from those signifying AMD, the same applications of AI-assisted CFP are useful in its diagnosis.
Similarly, as fluid levels in the eye are of concern in this area of treatment as well, at-home “smart” OCT devices could be of enormous benefit to those with diabetes-related vision diseases Diagnosing.
Looking beyond the retina While previous speakers made an undeniably strong case for the use of AIassisted CFP in diagnosing retinal disease, the next presenter,
Dr. Tien Wong, showed that this advanced algorithmic technology can be used to identify numerous problems beyond the eye. While the signs of diabetes often manifest in the retina, as
Dr. Tadayoni had discussed, it is not usually through optical examinations that this condition is discovered. And, of course, the effects of diabetes are more far-reaching than those concerning a patient’s vision.
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