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

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 :slight_smile: ANY help, tips would be APPRECIATED!

This is one of those subjects that I really suggest you take a deep look on what’s already out there

if you use google scholar you can research the scientific articles out there on the topic

Google Scholar research “Detecting Early Signs of Diseases via Image Analysis”

Image recognition in general is done via Convoluted Neural Networks - CNN in short.
Tensorflow and Google Collabs offer a nice codebase for this.

Though keep in mind, “great accuracy” is… a hard word given you are a single person and didn’t jump to CNN on the word “image”.
I’d recommend doing the Tensorflow course of FCC to get a basic understanding for how NN work and how to create them.

And then to give you a perspective: One of the challenges is to write a NN that can tell if an image is a cat or a dog. I utilized a pre-trained model for image-recognition from Google, which actual ML-scientists and worked on and designed. And it achieved 78% accuracy. Meaning about every 5th image with classified wrong.

So don’t expect to much of a “high” accuracy while looking for very subtle differences that would revolutionize modern medicine.

2 Likes