Oct 13, 2021 | Shaoni Ghosh
Google offers a Google Cloud Platform which is an amalgamation of cloud computing services. Just as Google employs a specific infrastructure internally for its end-user services and other products to execute; the products include that of YouTube, Google Search, Google Drive and many more -- similarly, Google Cloud Platform makes use of the similar kind of infrastructure.
Google Cloud has paired up with the US Department of Defense (DoD) in order to pronounce its deliverance of an augmented reality (AR) microscope, abbreviated into ARM, for cancer diagnoses.
At Google, they have already obtained published outcomes which clearly proves that a convolutional neural network (CNN) is able to identify breast cancer metastases in lymph nodes with accuracy.
Now, this project for the Defence Innovation Unit (DIU), would bring in the concepts of AI-enabled digital pathology solutions at respective DoD units.
In the technological space, Deep Learning has proved itself to be powerful enough to stir the healthcare field and introduce some incredible technological advancements particularly in dermatology, radiology, pathology and ophthalmology to change lives for the better.
Similarly, Google Cloud has laid its eyes on the Healthcare industry. Augmented Reality (AR) and Virtual Reality (VR) are running in parallel with the aforementioned services to revolutionise the medical disciplines.
(Also Check: Applications of Augmented Reality in Healthcare)
The company referred to the research from the Veterans Affairs Center for Innovations in Quality, Effectiveness and Safety and excavated that about 5 percent of outpatient diagnoses were not at all accurate.
Therefore, the DIU-Google Cloud Project is looking forward to enhancing the accuracy rate of diagnoses. Vice President of global public sector at Google Cloud, Mike Daniels stated that speed and accuracy are two most significant factors to "effectively treat cancer."
As reported by VirtualRealityNews, the AR microscope will now superimpose the data based on Artificial Intelligence for the healthcare professionals and doctors, providing them with cancer detection equipment.
(Related Reading: AI in Cancer Detection and Treatment)
All such cancer detection tools will include Google tools, such as TensorFlow, an end-to-end open-source platform for machine learning and Google Cloud Healthcare API for privacy-related concerns.
Mike Daniels also stated that the partnership with DIU would offer machine learning and artificial intelligence technology together. This would help "frontline healthcare practitioners" to make best use of the potential which in turn, shall change the lives of military men, women and their families.