Artificial intelligence (AI) and deep learning techniques are being employed in many fields, including the healthcare sector. They have been used to detect mutations by analyzing genetic sequences and bone fractures, tuberculosis, malignant melanoma, and lymph node metastasis by analyzing X-rays and other digital images. The field of ophthalmology uses many imaging techniques such as computerized visual field testing, color fundus photography, and optical coherence tomography. Several studies have demonstrated that deep learning software help physicians diagnose diabetic retinopathy, glaucoma, age-related macular degeneration, and retinopathy of prematurity accurately. Which of the following signs should AI recognize to diagnose diabetic retinopathy? A.
Microaneurysms B. Hemorrhages C. Exudates D. Cotton wool spots E. All of the above The correct answer is posted in the comment…
