What type of Artificial Intelligence for Detecting Early Signs of Diseases via Image Analysis?

Question

What type of Artificial Intelligence for Detecting Early Signs of Diseases via Image Analysis?
I am seeking to build an Artificial Intelligence via Python that recognizes patterns in detecting early signs of disease, as the goal to prevent the disease.
I want to use Supervised Learning.
I was wondering what type of Artificial Intelligence fits this project best. Should I use Neural Networks?
The images I input are basically images from for example X-Ray where I have input in the information in the potential early stages of a patient's disease, about whether it is a disease or not.
And since it's supervised learning, I have also output images of diseases and non-diseases which the machine trains on.
In the end, I want to have the AI know from analyzing a picture whether it is a disease or not with great accuracy.

At the moment I am doing research. What concepts, subjects should I focus on?

I am trying this in Jupyter Notebook. Are there any more important factors that I need to know in order to make my project a reality? I am a beginner :) ANY help, tips would be APPRECIATED!

Answer 1

I recommend pytorch with pillow library using accelerator = cuda & of course all related import libraries + run your code on google.colab for faster training process