In this topic, we propose to implement prediction regarding presence of a disease using AI/ML. For this purpose, training is performed using the images (for ex: CT scan). After the training is successfully completed, we provide an input image to our application on which we may also perform some image pre-processing operations.
Using a machine-learning model created with the help of training, application classifies whether the inputted scan image is of a healthy human organ or not.
The accuracy of disease detection/prediction will be based on the training data and the quality or resolution of the inputted image. In other words, if the training data is insufficient/incorrect OR the inputted CT scan image is distorted/of low-quality, the output will be incorrect.