The traditional pathological examination involves a pathologist observing changes that have taken place in the cells or tissues before writing up a pathology report. In recent years, with rapid advancements in imaging technology and artificial intelligence (AI), AI digital pathology has become an inevitable trend of the future in developing smart healthcare. Clinically, the AI digital pathology system assists pathologists in improving efficiency in writing reports and diagnosis accuracy. Coupled with the remote operation of digital images, the system can effectively lower the healthcare personnel’s risk of COVID-19 exposure, facilitating doctors to obtain the necessary information and participate in interdepartmental discussions anytime.
Assisted diagnosis
Increase efficiency
Minimize contact
Interdepartmental discussion
Solutions
From image acquisition, normalized compatible interface, centralized sample storage, pathology image AI modeling and training, to AI model-assisted identification of pathology image samples, to sample retraining, a circular ecosystem (Encosystem) blueprint has been created for the application of digital pathology smart transformation, as well as a pathology imaging labeling system to implement function refinement and system integration.
Performance
Accelerated diagnosis - Precision medicine
The hospital is the first in the country to implement digital pathology slides for preliminary diagnosis and to continuously promote “smart pathology”. Through innovative development of remote pathology and AI-assisted image diagnosis and digital and paperless pathology slides and diagnosis process, the hospital can improve diagnosis quality and minimize errors to become a premier pathology application center.
