MISSION:

AI's use in clinical data, focusing on early cancer detection via AI-powered image analysis, showcasing how AI can improve diagnostic accuracy and efficiency. We were asked to work on a large dataset of medical images (X-rays, CT scans, MRIs) that was collected, with each image labeled by experienced radiologists to indicate the presence or absence of cancerous lesions. This labeled data needed to be trained using a deep learning model .

ACTION:

Our Rang team was involved in the creation of AI model which was trained to identify patterns and features in the images that are indicative of cancer, including subtle changes in tissue density, shape, and size and then the trained AI model was integrated into the hospital's imaging workflow, allowing radiologists to quickly review images and receive AI-generated alerts about potentially cancerous areas.

The AI system was designed to work as a supportive tool for radiologists, not as a replacement. Radiologists could review the AI's findings and make their own independent diagnoses.

The Rang team was the right fit to work and deliver the right AI model to the client.

RESULT:

Through our Team efforts and expertise, the AI model demonstrated high accuracy in detecting cancerous lesions, often surpassing the performance of radiologists in certain cases. It significantly reduced the time required for image analysis, allowing radiologists to process a larger volume of images and improve patient turnaround times leading to earlier intervention and improved patient outcomes. This project increased our company’s overall productivity.