Machine Learning in Diagnosing Middle Ear Disorders Using Tympanic Membrane Images: A Meta‐Analysis

ML approaches analysing TM images can diagnose MED with high levels of sensitivity, specificity and AUC. To further enhance applications of ML approaches, the use of an advanced neural network for multi‐label classifiers trained using larger training datasets may lead to robust classification results.