Towards next-generation diagnostic pathology: AI-empowered label-free multiphoton microscopy
Shu Wang,
Junlin Pan,
Xiao Zhang
et al.
Abstract:Diagnostic pathology, historically dependent on visual scrutiny by experts, is essential for disease detection. Advances in digital pathology and developments in computer vision technology have led to the application of artificial intelligence (AI) in this field. Despite these advancements, the variability in pathologists’ subjective interpretations of diagnostic criteria can lead to inconsistent outcomes. To meet the need for precision in cancer therapies, there is an increasing demand for accurate pathologic… Show more
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