A method for calculating parameters in a larynx image with an artificial intelligence assistance includes training a deep learning object detection software and a deep learning image recognition and segmentation software to extract a glottis image from a larynx image and recognize a membranous glottal gap; after receiving a larynx image, a plurality of larynx images captured frame-by-frame, or a larynx video that is captured when vocal folds are in a phonating state, extracting a glottis image by the deep learning object detection software; recognizing a membranous glottal gap in the glottis image and correspondingly outputting a membranous glottal gap filter by the deep learning image recognition and segmentation software; performing image processing of edge detection and image patching on the membranous glottal gap filter to clearly outline the membranous glottal gap and obtaining a medical parameter of several vocal fold anatomies from the clearly outlined membranous glottal gap.