The research team trained their AI model using 207 chest X-rays from 144 patients with esophageal achalasia and 240 chest X-rays from 240 age- and sex-matched non-achalasia patients. The diagnostic capability of the AI model was then verified using a test dataset consisting of 17 chest X-rays from 17 patients with esophageal achalasia and 64 chest X-rays from 64 patients without achalasia. The diagnostic performance of the AI model was highly accurate (AUC 0.964, sensitivity 0.941, and specificity 0.891). The diagnostic performance of the AI model demonstrated higher sensitivity and specificity than physicians who reviewed the same images. “There are reports indicating that from the onset of symptoms to diagnosis, esophageal achalasia takes an average of 6.5 years.