AI-Guided Histopathological and Molecular Phenotyping of Salivary Glands in Sjögren's Disease: Subtyping, Mechanistic Insights, and Translational Implications-A Systematic Review and Structured Functional Synthesis.

What was studied

This review looked at AI tools used on salivary gland tissue in Sjögren's disease. A gland biopsy is central to testing for this disease. The abstract says usual measures do not fully capture how the gland varies. The review covered AI work on tissue slides and molecular profiles. The authors searched PubMed, Scopus and Embase. Studies differed in methods, so results were grouped by function.

What they found

The tools found patterns in gland tissue and in molecular data. These patterns covered immune and interferon activity. They covered tissue structure and how immune cells are arranged. They also covered cell stress, metabolism and cell death. Only a limited subset of studies went beyond computer or tissue checks. That subset went on to tests in living systems, drug tests or treated people. Reuse of public datasets, small groups and varied methods limited repeat testing. Limited independent checks did too.

What it means for patients

The authors say AI supports detailed profiling of the gland in Sjögren's disease. They say it shows emerging potential for use in care. They say its value for care or treatment is not yet shown.

Why it is not certain yet

The authors say prospective studies at many centers are needed first. Only then can AI-based gland patterns guide routine care. Many studies reused the same public data. Groups in the studies were often small.

Source

AI-Guided Histopathological and Molecular Phenotyping of Salivary Glands in Sjögren's Disease: Subtyping, Mechanistic Insights, and Translational Implications-A Systematic Review and Structured Functional Synthesis.

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