Abstract: |
The examination of glass tissue slides under the microscope by pathologists remains the gold standard for many primary diagnoses, especially in oncology. The microscope has been a critical instrument for pathologists, and now digital pathology (DP) is making inroads to assist in delivering more precise diagnoses with higher efficiency. The automated high-throughput slide scanners can capture the entire glass slide under bright field or fluorescent conditions and reconstruct a three-dimensional (3D) image. The add¬on software that runs image analysis and artificial intelligence (AI) is rapidly being developed as a decision-supporting tool. The advent of the 5th generation (5G) mobile network will also allow real-time remote viewing, multiple people logging in, and continuous AI running in the background, all working together seamlessly. The realm of DP is not limited to slide scanners. New imaging modalities are under development and have already contributed to the knowledge of basic science and applied that in clinical pathology. The new modalities challenge conventional two-dimensional (2D) glass slide tissue processing. They aim to produce 3D high-resolution images while minimizing tissue processing. The spatial understanding of the tissue allows for a deeper understanding of pathophysiology, which can be validated for prognostication and treatment optimization. Finally, and the most exciting, is the application of AI, or machine learning, in digital pathology. We believe this will be a fundamental driving force to advance precision medicine. Tasks from detection of cells, diagnosis, virtual staining, and more will help pathologists formulate a comprehensive report on a patient's disease. © 2023 Nova Science Publishers, Inc. All rights reserved. |