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Synapse
March 16, 2026Current Opinion in Nephrology & Hypertension0 citations

Assessing interstitial fibrosis and tubular atrophy in kidney biopsies artificial intelligence versus humans

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AFA. Brad FarrisDZDženan ZukićKSKim Solez

Key Points

  • This research aims to compare the effectiveness of artificial intelligence and human analysis in assessing kidney biopsy characteristics.
  • Comparison of AI and human assessments in kidney pathology.
  • Focus on interstitial fibrosis and tubular atrophy.
  • Evaluation of clinical and histopathologic parameters.
  • AI demonstrates potential for increased accuracy in detecting interstitial fibrosis.
  • Human analysis remains crucial for context in assessment.
  • Collaboration between humans and AI may lead to better patient care outcomes.

Abstract

Computerized methods, including AI, are showing increased application in kidney pathology for a wide variety of clinical and histopathologic parameter assessment, including interstitial fibrosis; however, further studies are needed to characterize the performance of AI and handcrafted methods; and additional work is needed to fully integrate computerized methods into routine pathology practice. Ultimately, humans working with AI ("humans + AI") may provide enhanced analysis for more effective patient care.

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Cite This Study

Farris et al. (2026) studied this question.

synapsesocial.com/papers/69b79fc18166e15b153ac5a0https://doi.org/10.1097/mnh.0000000000001174
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Harnessing artificial intelligence in kidney disease; current applications and future prospects2026
  2. 2Artificial intelligence in kidney cancer: a review of clinical applications across the disease spectrum2026
  3. 3Towards accurate and efficient diagnoses in nephropathology: An AI-based approach for assessing kidney transplant rejection2024 · 5 citations
  4. 4Artificial Intelligence in Nephrology: From Early Detection to Clinical Management of Kidney Diseases2025 · 4 citations
  5. 5Streamlining the Histopathological Workflow in Diabetic Kidney Disease with Artificial Intelligence2025