Computed tomography image and mechanism of spiral neuron T‐type calcification channel of elderly patient with senile sudden deafness under embedded system combined with artificial intelligence algorithm

Abstract

AbstractTo analyse the computed tomography (CT) images of spiral neuron T‐type calcification channels and the mechanism of action in patients with sudden deafness in the elderly, the artificial intelligence (edge algorithm) algorithm was applied to the embedded system to analyse the CT images of the sudden deafness of the elderly, and then the mechanism of the spiral neuron T‐calcification channel was studied. The results showed that among the 48 patients with labyrinthitis, 26 were acute labyrinthitis, 14 were chronic labyrinthitis, and 8 were sclerosing labyrinthitis. α1G, α1H, and α1I were expressed on the cochlea and spiral neurons in the 66–68‐year‐old population, but the expression levels were significantly different. The expression of the three receptors on spiral neurons was slightly higher than that of the cochlea. α1H was most expressed on spiral neurons compared with the other two calcium channel receptors (p < 0.05). In addition, the minimum intensity projection method, multi‐layer reconstruction method, and surface reconstruction method can fully display the bony labyrinth, cochlea, cochlear duct (2.5 weeks), and shape and edge damage. In summary, the adoption of artificial intelligence algorithms based on embedded systems to analyse CT images can comprehensively and accurately reflect the three‐dimensional structure of the inner surface of the inner ear labyrinth. It can also fully display the scope, shape, density, and edge of the lesion. T‐type calcium channel receptors were expressed on the cochlea and spiral neurons of the C57BL/6J elderly, and decreased with age.