Medical AI

Research in the 1960s and 1970s produced the first problem-solving program, or expert system, known as Dendral. While it was designed for applications in organic chemistry, it provided the basis for a subsequent system MYCIN, considered one of the most significant early uses of artificial intelligence in medicine .

The 1980s and 1990s brought the proliferation of the microcomputer and new levels of network connectivity. During this time, there was a recognition by researchers and developers that AI systems in healthcare must be designed to accommodate the absence of perfect data and build on the expertise of physicians. Approaches involving fuzzy set theory, Bayesian networks, and artificial neural networks,have been applied to intelligent computing systems in healthcare.

Various specialties in medicine have shown an increase in research regarding AI. As the novel coronavirus ravages through the globe, the United States is estimated to invest more than $2 billion in AI related healthcare research over the next 5 years, more than 4 times the amount spent in 2019 ($463 million).

PROJECT :

You can find our project/website by Clicking Here! .

OUR INITIATIVE :

• We purpose a portal that has all possible solutions to Medical problems.
• It tries to remove the barrier between what factors effect the problem.
• We purpose simple and handy website using Machine Learning algorithms.

HOW TO GET STARTED ?

Let's first understand the directory structure .

Directory Layout

.
├── models                                                           # contains all models
│   ├── braintumor
│   ├── cataract
│   ├── pneumonia
│   ├── riskmodel
├── static                                                           # contains image file , css file and js files .
│   ├── images
│   ├── style.css
├── templates                                                        # contains all html files
│   ├── getting_started.html
│   ├── index.html
├── Procfile                                                         # contains profile information
├── app.py                                                           # web app file
├── requirements.txt                                                 # contains all required libraries and dependencies 
├── runtime.txt                                                      # 

How to Install and Run

• Fork this repository Repo Link .
• Clone the repository .
• Run following commands in command prompt

cd Medical-AI-Main

pip install -r requirement.txt

• Run this to start server

python app.py

• Select the problem you want to check .
• Update input for that specific prroblem and check the prediction\output .

About Contribution :

• Raise the issue .
• Work on raised issues .
• Come up with interesting Medical related problems and solutions .
• You can improve the UI/UX .
• Can contribute on readme files as well .

Package Guidelines

See CONTRIBUTING.md file for detailed information.

License

See LICENSE file.

                                  "Take stands, take risks, take responsibility."
                                                                — Muriel Siebert