Roche Digital Pathology
Description
Decrease manual effort in analyzing and identifying tumors on slides. AI technology will inform the pathologists how much of the neoplastic cells are staining with such-such stain and give the percentage of tumor involvement - this is quite helpful in analyzing the involvement of prostate carcinoma in each of the prostate core. The pathologist will not perform much of the “manual labor” and be more efficient.
Detailed example
Slide image analysis - AI technology will inform the pathologists how much of the neoplastic cells are staining with such-such stain and gives the percentage of tumor involvement
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Reduce and prevent errors, enhance turnaround times, increase cost savings, and enhance patient care.
Controls / human review
ATO: Not reported; PIA: Not published