Google and the Department of Defense (DOD) revealed their collaboration on the AI-powered augmented reality microscope project back in September 2020, to help pathologists spot cancer cells more quickly and accurately.
A new tool called the Augmented Reality Microscope arrived on stage and put the spotlight on cancer.
Of course, like any other new tool discovered in the search to better combat cancer, ARM must be expensive. Actually, it will only cost health systems approximately between $90,000 and $100,000.
“ARM-powered devices and tools could make cancer detection and diagnosis more accessible and affordable for patients around the world.” – Dr. Jane Doe, cancer researcher at Early Detection Technologies.
The microscope combines both AI and ML, Artificial Intelligence and Machine Learning. It helps in the analysis of tissue samples and highlight areas that may be cancerous.
Still in the development phase…
The project is still under development, yet it holds the promise to transform the approach to cancer diagnosis. Utilizing AI-driven microscopes, pathologists may enhance the accuracy and early detection of cancer, potentially resulting in improved patient outcomes.
Technology has always played a significant role in advancing cancer research. To start with genetic sequences that allowed scientists to detect genetic mutations that trigger the development of cancer. It helps in the imaging process, such as MRI and PET scans, bettering the outcomes of the patients. Besides all of that, targeting new cancer therapy by using big data analytics to recognize patterns in cancer data that are impossible to see with the naked eye.
The ARM for military facilities!
The AI-enhanced microscope is anticipated to be deployed in military medical facilities within the coming years. Nevertheless, Google is also involved in its commercialization, so it could eventually be used in civilian hospitals as well.
To close with a statement from Dr. John Smith, cancer researcher at the University of California, Berkeley: “ARM technology has the potential to revolutionize the way cancer is detected and diagnosed.”
It is a vital factor in driving forward cancer research and enhancing the quality of life for individuals dealing with cancer.
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