Microscope 2.0: An augmented reality microscope with real-time AI for cancer detection

Processed tissue slide viewing and assessment is crucial in determining the diagnosis and cancer staging. This protocol is thus instrumental in deciding the treatment therapy for a patient. Applications of deep learning and AI in the medical fields such as dermatology, radiology, ophthalmology, and pathology have shown great potential in providing great accuracy in diagnosis. Although AI promises to provide quality healthcare, the cost of slide digitization and lack of infrastructure for AI deployments remain as barriers for widespread adoption of digital pathology in clinical settings. Google recently published a paper in Nature demonstrating the prediction of metastatic breast cancer in lymph nodes using convolutional neural networks at an accuracy comparable to pathologists.