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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68598
Volume:
10 |
10 |
Oct 2026
Pages:
1-9
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Computer Science and Engineering
MIT Art, Design and Technology University
Department of Computer Science and Engineering
MIT Art, Design and Technology University
Department of Computer Science and Engineering
MIT Art, Design and Technology University
Department of Computer Science and Engineering
MIT Art, Design and Technology University
Department of Computer Science and Engineering
MIT Art, Design and Technology University
Medical imaging plays a key role in today's healthcare system, helping doctors spot and understand different diseases. But looking at medical images and reading the related reports can take a lot of time and needs expert knowledge. This paper introduces MEDVISION AI, an AI-powered healthcare tool that uses three special deep learning models to examine X-ray, CT, and MRI images. The system can find possible issues in the areas each model is trained for and gives doctors a first look at the results. It also handles medical PDF reports by pulling out important details and creating easy-to-read summaries, making it easier for doctors to get the information they need. The platform uses Python, FastAPI, HTML, CSS, JavaScript, and SQLite, with PyTorch or TensorFlow for building and running the AI models. Tools like NumPy, Pillow, and pydicom help process the images, while PyMuPDF is used for reading text from PDFs. The system is built with a modular design that keeps image analysis and document handling separate, but it offers a single place to upload files and check the results. The performance of the system can be measured using metrics like accuracy, precision, recall, specificity, and F1-score, along with how well it extracts and processes documents. MEDVISION AI is meant to speed up the initial review of medical information while ensuring that trained healthcare professionals remain in charge of making diagnoses and treatment plans.
KEYWORDS
MEDVISION AI is an AI-powered platform that combines the analysis of X-ray, CT, and MRI images with the extraction and summarization of medical PDFs. It uses Python, FastAPI, and SQLite to offer a single place for reviewing medical data.The system's effectiveness can be measured by classification results, how well text is extracted, the quality of summaries, and how fast it processes data.More testing is needed to ensure it works well in different healthcare settings.The system is meant to help doctors, not take the place of their judgment.
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Publication Date
10/31/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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