One new and innovative way to find and classify tumours is called AI-Augmented Histopathology. It uses artificial intelligence (AI) techniques with standard histopathological techniques to make cancer discovery more accurate and faster. Even though it takes a long time and relies on how good the doctors are, histopathology is still the best way to find out if someone has cancer. It might be easier to understand histology pictures if machine learning, especially deep learning models, could make it faster and easier to find and identify tumours. AI techniques, like convolutional neural networks (CNNs) and transfer learning, are used to handle large sets of tissue pictures. By doing this, it is possible to correctly find dangerous cells. The models teach pathologists how to spot different types of cancers and histology traits, tell the difference between healthy and dangerous cells, and figure out the amount of cancer. This helps them make better decisions. Not only does AI-Augmented Histopathology cut down on the mistakes and differences that people make, it also helps to standardise the testing process across institutions, which means that patients get more accurate results. It is also possible to do study in real time, which is helpful for personalised medicine because it helps doctors figure out how tumours behave and how to treat them. This mix makes things run more smoothly in hospitals and gives doctors more testing tools to help them do their jobs better. Using AI in histology is a big step forward in the fight against cancer because it speeds up, improves, and lowers the cost of tests. This could mean more deaths and better care for patients.