Machine learning will now tell pathologists, that’s cancer, and that’s not cancer.
Google’s AI research lab is bringing new technologies at the core of medical disciplines, including dermatology, radiology, pathology, and ophthalmology. In their recent addition to deep learning-based products for healthcare and biosciences, Google has unveiled their plan to make cancer detection easier with a high-magnifying microscope. The microscope, called as ARM, once commercially available, would be among the first to leverage Augmented Reality for pathology discipline.
Why Google Went After Augmented Reality in Microscope for Cancer Detection?
Deep learning is the go-to technology for the medical industry. Despite credible advances in cancer treatment, a majority of cancer patients lose their battle due to late diagnosis. Metastasis detection by pathologists remains a labor-intensive and error-prone process due to many technical reasons, including poor resolution in magnification and sensitivity. Detecting cancer metastases on Gigapixel pathology images using machine learning could significantly reduce errors related to false-negative rates.
Google AI is making cancer detection easier with Augmented Reality (AR). Metastasis detection by pathologists remains a labor-intensive and error-prone process due to many technical reasons, including poor resolution in magnification and sensitivity.
AI algorithms used within digital images have shown (at least in tests and experiments) to improve the accuracy of pathological diagnosis and provide a real-time metrics compared to traditional glass tissue slides. The integration of optical microscope with built-in AI capabilities could only provide the desired accuracy if it was fixed with an augmented reality display. Together with AI, deep learning algorithms, and AR technology with microscope imagery offered the promise of delivering better microscopic analysis of metastases in cancer treatment.
Five Benefits Google’s Augmented Reality Microscope Can Do to Cancer Diagnosis
Technically, given the paperwork on Google AI’s Augmented Reality Miscropscope and its research on TensorFlow, the latest AR imagery can turn traditional cancer pathology process absolutely obsolete.
Google’s ARM for cancer detection and diagnosis provide—
- Giving pathologists the freedom to work with machine learning
- Data visualization with text, pointers, heatmaps, contours and even animations
- Convolutional neural network
- Quicker diagnosis of cancerous tissues, leading to second opinion from specialist doctors at a local and international scale
- A chance for patients to live with cancer and prolong life with timely prognosis
Things We Could See from Google’s ARM for Cancer Detection
- Virtual Assistant Connected to AR Microscope
- Voice-guided Tissue Identification
- Automation Tissue Imagery and Mark-Up Discovery
- Predictive Analytics on the Survival Rate
- Big Data-powered Cognitive Learning
As Google AI continues to dive deeper into deep learning algorithms for health sciences, we could see a phase in medical history very soon where patients and doctor might be able to predict the outcome of their treatment in advance. With Google’s ARM for cancer detection, we are waiting to see how the microscope technology could be transferred to other industries as well, including metallurgy, geology, and molecular science.