The ARM is not intended to replace existing digital pathology systems, but rather to assist health organizations in bypassing the need for such systems. The AI can outline where cancer cells are located, indicate the severity of the cancer, and generate a heat map showing the boundary of the cancer in pixelated form. Currently, an ARM costs between $90,000 and $100,000, but this is expected to change as the technology develops. Google is currently offering four algorithms for the ARM, which can identify breast cancer, cervical cancer, prostate cancer, and mitosis.
Key takeaways:
- Google LLC and the U.S. Department of Defense are working on an AI-enabled microscope project called the Augmented Reality Microscope (ARM).
- The ARM uses real-time machine learning and convolutional neural networks for accurate cancer detection and classification.
- The ARM overlays AI-based information onto the current view of the sample in real time, allowing for seamless integration of AI into routine workflows.
- Currently, an ARM costs around $90,000 to $100,000, but this is expected to change as the technology matures.