Avant
- May 20
- 2 min read

Avant Case Study: Breast Cancer Diagnosis with Computer Vision

Avant's CTO Mac Jones, developed innovative AI software that uses computer vision to analyse breast cancer scan images, with 99.5% accuracy. This prioritises cases in real-time to significantly reduce diagnostic wait times and improve patient care.

A grid of four ultrasound images displaying breast tissue, each annotated with a vertical color bar on the left side and text indicating diagnostic results. The top two images show benign tumors, labeled with a confidence score and a blue bar. The bottom two images contrast benign and malignant findings; the left shows a benign tumor with a 95.6% confidence and a blue bar, while the right shows a malignant tumor with a 99.9% confidence and a red bar. — Benign and malignant findings with confidence level

Technological Application of AI-Supported Cancer Diagnosis

Mac's AI software employs a sophisticated computer vision model to analyse breast cancer imagery from X-rays. Traditionally, these images are reviewed on a “first-come, first-served” basis, often resulting in a six-week delay before a determination is made about the urgency of a case. Mac’s software, however, analyses and categorises these scans within minutes, prioritising them from most to least likely to be cancerous. This allows for urgent cases to be escalated promptly, ensuring that patients with the most severe indications receive immediate attention.

Key Benefits of AI in Medical Imaging

Increased Diagnostic Speed: The software’s ability to rapidly analyse and prioritise breast scans means that patients with critical conditions are identified and treated sooner.

99.5% Accuracy Rate: The software provides a reliable analysis that can also serve as a failsafe to double-check manual evaluations done by doctors.

Enhanced Medical Practice Effectiveness: This tool supports medical professionals by allowing them to focus their expertise where it is most needed, improving overall patient care and efficiency.

Malignant and normal scan examples with confidence level

Integration and Impact

Integrating this AI software into the diagnostic process transforms how patient care is administered in the realm of breast cancer. By providing a faster, highly accurate assessment of breast scans, the technology ensures that critical cases gain the immediate attention of oncologists, potentially saving lives through earlier intervention.

This application of computer vision in breast cancer triage empowers medical professionals to allocate their time and skills more effectively, ensuring that patients receive the most timely and focused care possible.

The development and implementation of such AI-driven tools in healthcare settings not only streamline operational efficiencies but also significantly enhance the quality of care, demonstrating the profound impact of integrating advanced technology in medical diagnostics that is possible.

The solutions for AI to support and resolve a number of key issues are endless. If you would like to discuss a way we can help you in this area, please reach out to our team.