When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or ...
New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather ...
University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...
A recent integrative analysis of single-cell sequencing and single-cell spatial mapping of lymph node metastasis in breast ...
A new AI-driven pathology system that automates cancer diagnostics from slide analysis to reporting is now undergoing regulatory review in both Hong Kong and mainland China. The Hong Kong University ...
Over the past 50 years, multiple pathology organizations worldwide have evolved in cancer histopathology reporting from subjective, narrative assessments to structured, synoptic formats using ...
As the demand for pathology-based diagnoses rises, particularly with the growth of personalised cancer care, improved workflow efficiency allows pathologists to manage their growing caseloads more ...
Researchers in the UAB Department of Pathology have developed a comprehensive breast cancer data analysis platform, MammOnc-DB, to address this issue. The platform is comprised of data from more than ...
Reduction mammoplasty is a common surgical intervention not only for symptomatic macromastia but also as a reconstructive adjunct during breast cancer management. The histopathological analysis of ...
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