Patient Medical History AI Scanner

This project will collect patient medical history in form of text, image, pdf, voice and covert it into text which can later be interpreted by AI agent to identify illness.

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Inspiration

I always try to make difference in people's life. Machine learning (ML) and AI is a field which can improve patients' life. When I see intelligent applications which are using AI and ML, I always think to create one. So I have participated in the Dev Post Hackathon to create a web application using AWS Comprehend Medical to extract meaningful information from patient's medical record.

What it does

I have made this web application by using AWS Comprehend Medical services to derive medical ontology of the patient based on his medical records. I have provided a platform where patients can upload their medical records in form of images, voice, and pdfs. I convert all the medical records of the patient in text format.

I create PDF file of the medical records and upload on AWS S3 bucket which can be later be used to extract medical information. The medical information extracted from PDF files on S3 is submitted as full text to AWS Comprehend Medical to derive medical ontology. The output of Comprehend Medical is comprised on Key phrases, Personal Identifiable Information and Medical Ontology.

The output can be used by medical experts to provide expert medical view based on the medical report and ontology provide in hand. The product will help medical experts to provide swift expert views and improving patients’ medical life. It is first version of the product and can be enhanced to next level by bring more features in the product.

How we built it

I have used React as front end. I have used Python, Flask for API creation and MongoDB for database.

Challenges we ran into

I have faced many challenges in React, Python, Flask in order to achieve desirable results for my web application.

Accomplishments that we're proud of

My application can be used a platform for Medical experts in order to improve patient's health and make wise and prompt decision.

What we learned

Making use of technology that is available at the moment online for a meaningful achievements improving health sector.

What's next for Patient Medical History AI Scanner.

To add more features and integrate with other medical application. To create API platform which can be used worldwide.

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