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Prospective Pathology Foundation Models
Sponsor: Nanfang Hospital, Southern Medical University
Summary
Histopathology remains the gold standard for disease diagnosis, yet faces challenges including pathologist shortages and diagnostic model limitations. This underscores the critical need to develop deep learning-based pathology foundation models integrating prospective imaging and clinical data. Such models would enhance diagnostic accuracy and efficiency, enabling tumor grading, histo-molecular classification, and intelligent chemotherapy guidance - ultimately optimizing clinical workflows. However, a critical gap remains: the absence of prospectively validated, pan-disease pathology foundation models. Developing clinically validated models is therefore imperative.
Official title: Development and Clinical Application of Deep Learning-Based Prospective Pathology Foundation Models
Key Details
Gender
All
Age Range
18 Years - 75 Years
Study Type
OBSERVATIONAL
Enrollment
2000
Start Date
2025-08-28
Completion Date
2028-08
Last Updated
2025-09-05
Healthy Volunteers
No
Conditions
Locations (2)
Nanfang Hospital, Southern Medical University
Guangzhou, Guangdong, China
Qianfoshan Hospital
Jinan, Shandong, China