Case Study: a global cancer healthcare service provider improves GI cancer diagnosis and reduces backlogs with Wolfram CapScan

Revolutionizing Cancer Diagnosis with AI and Machine Learning Revolutionizing

The customer, a global cancer healthcare service provider, faced a significant challenge in analyzing the immense volume of images produced by video capsule endoscopies. Manually reviewing approximately 400,000 images per procedure to screen for gastrointestinal diseases like colon cancer was unachievable, creating a major bottleneck that limited the technology's potential to reduce hospital backlogs and improve patient access.

To solve this, Wolfram Consulting Services developed an integrated tool called CapScan using the Wolfram Language. This solution provided a simple interface for operators to import images and utilize machine learning for automated analysis, which suggests potential abnormalities for manual verification. This approach by Wolfram reduced the time specialists spend per procedure by 56%, enabling faster, more accurate screenings without the constant need for specialized consultants and extending care to underserved areas.