Key points are not available for this paper at this time.
The early diagnosis of cancer is pivotal for effective clinical management and Artificial Intelligence (AI) shows promise in enhancing the diagnostic process.This study aimed to advance the understanding of AI's application in the early diagnosis of oral cancer.A comprehensive literature search focused on non-invasive early diagnosis of oral cancer using AI during screening.Previous studies primarily focused on image-based detection methods (including optical imaging, enhancement technology, and cytology) aided by AI models.These studies exhibited heterogeneity, with each employing different algorithms, potentially leading to training data biases and limited comparative data for AI interpretation.While AI shows promise for accurately predicting oral cancer development, several methodological challenges must be addressed alongside AI advancements to enable widespread integration into populationbased detection protocols..
Amal Adnan Ashour (Thu,) studied this question.