Google to Develop AI Microscope to Aid in Cancer Detection for Small Clinics and Patients

Google has been investing in AI startups for several years in order to create something remarkable. Recently, Google has partnered with the U.S. Department of Defense to collaborate on the development of an automated cancer detection microscope specifically for healthcare workers in the cancer department. According to reports, this microscope will be powered by AI, making it more convenient for doctors and saving them time. Find out more about this innovative Google AI-powered microscope.

Google Augmented Reality Microscope (ARM)

Google first introduced the Augmented Reality Microscope (ARM) in 2018. They also released a detailed report where they talked about how deep learning tools can benefit pathology and how the microscope generates automated data using machine learning algorithms. According to a CNBC report, there are now a total of 13 ARM devices in existence. The tool is currently being tested for credibility and whether or not it will be useful to clinics.

According to Google, ARM can provide visual data such as arrows, outlines, heat maps, animations, object detection, quantification or classification. The goal of the collaboration is to equip small clinic professionals with advanced tools to provide effective treatment. Therefore, ARMs can cost between $90,000 and $100,000.

Patrick Minot, senior autonomous systems engineer at Mitre, said that ARM, as part of pathologists’ processes, ensures that the microscope remains an integral part, not just a computer. So far, Google has not revealed its actual cost and availability in the market. However, it might become available soon after all the tests and trials.

Google’s Augmented Reality Microscope (ARM) gives small hospitals and patients hope for early detection and hope for the right treatment. Now, healthcare professionals have very limited resources to treat and detect serious cancers, and the entire healthcare industry needs advanced tools that not only reduce time, but also reduce labor and other associated effort. The healthcare industry needs more of these advances that can help detect more serious diseases.