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TRV-2026-0995Certified recordPeer-reviewed

Digital pathology, image analysis, and artificial intelligence in liver disease

Advances in digital pathology, image analysis, and artificial intelligence (AI) are rapidly transforming how pathologists and researchers interact with tissue samples and enable the development of diagnostic tools that harness high-resolution whole-slide images; these advances are in turn creating new opportunities for research, education, and routine clinical care globally. Liver disease is no exception, and digital pathology and AI have many applications in the diagnosis of liver cancer and liver diseases and…

Health · The Trace — both readings · certified 2026-09-06 · v1 · article view · machine-readable

Current reading — gain

Digital pathology and AI tools using high-resolution whole-slide images are expanding diagnostic capacity for liver cancer, liver disease, and transplantation, with growing clinical access that may help address laboratory challenges.

Current reading — problem

Adoption of digital pathology and AI in liver disease is constrained by access and logistics barriers, quality issues, lack of guidance, and unproven real-world effectiveness and clinical safety.

What this doesn’t fix

Real-world effectiveness, clinical safety, and implementation of AI tools in liver pathology remain unevaluated, with ongoing challenges around access, logistics, quality, and guidance.

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Truvace Impact Record TRV-2026-0995, v1: “Digital pathology, image analysis, and artificial intelligence in liver disease.” Truvace, 2026-09-06. /record/TRV-2026-0995 (accessed at citation time). sha256 a3ef4c142b6fb078…

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