🦴 Detecting Bone Fractures with Deep Learning: A Healthcare AI Project

Hey Devs! 👋

I’m Manognya Lokesh Reddy, currently pursuing my Master’s in AI. In this post, I’ll walk you through one of my favorite projects—using deep learning to detect bone fractures in X-ray and MRI images. If you're curious about how AI is transforming healthcare, this one’s for you!

⚕️ The Problem
Doctors often rely on X-rays and MRIs to detect fractures, but:

Manual interpretation is time-consuming

Subtle fractures can be missed

Resource limitations exist in rural and under-equipped clinics

So, I set out to build an AI-based system that could automatically detect bone fractures and support radiologists in diagnosis.

🛠️ Tech Stack
Python

TensorFlow, Keras – for model building

OpenCV – for image processing

CNN (Convolutional Neural Networks) – for classification

SVM (Support Vector Machines) – as a traditional baseline comparison

🧪 How the Model Works

1. Data Collection & Preprocessing Collected and cleaned X-ray/MRI image datasets

Applied preprocessing:

Noise reduction

Contrast enhancement

Feature extraction

1. Model Building Built a CNN to classify images as fractured or not fractured

Tuned layers, filters, activation functions for optimal performance

1. Training & Validation Used stratified train-test splits

Compared results with SVM to validate deep learning benefits

📊 Results
Achieved 92–95% accuracy on unseen test data

Reduced false negatives significantly (critical in medical diagnosis)

Boosted early detection, aiding in personalized treatment planning

🧠 What I Learned
Medical AI requires precision—you can't afford high error rates

Collaborating with healthcare professionals helped me align the model with clinical needs

Even basic preprocessing can drastically improve model performance in medical imaging

🩺 Why It Matters
AI isn’t just about tech—it’s about impact. With models like these:

We can support doctors in early diagnosis

Reduce diagnostic delays in underserved areas

Help build scalable, accessible health solutions

🚀 Next Steps
Planning to deploy the model via a web-based interface

Exploring integration with hospital workflows

Want to expand to multi-disease detection using the same framework