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September 30, 2025International Journal of Multidisciplinary Sciences and ArtsOpen Access

The Role of Artificial Intelligence in Diagnosing Drug-Induced Hepatitis: A Systematic Review on Differentiation from Viral Hepatitis

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Authors

SHSyed Umer HasanSKSubrat KumarASAshish Shiwlani

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Overview

Systematic review highlights AI's accuracy in diagnosing drug-induced liver injury versus viral hepatitis, suggesting new possibilities for treatment.

Key Points

  • AI has shown enhanced accuracy in diagnosing drug-induced liver injury compared to traditional methods, addressing significant medical challenges.
  • Out of 933 identified studies, only 55 focused on AI applications for differentiating between drug-induced liver injury and viral hepatitis.
  • Utilizing machine learning algorithms, clinical data, and imaging can lead to improved diagnostic precision for drug-induced liver injury.
  • The implementation of advanced AI models could yield predictive capabilities for drug-induced hepatotoxicity, enhancing patient outcomes.

Cite This Study

Hasan et al. (2025) studied this question.

synapsesocial.com/papers/68dc12c58a7d58c25ebb0904https://doi.org/10.47709/ijmdsa.v4i3.5291
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Also Consider

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

  1. 1A New Tool for the Diagnosis and Management of Viral Hepatitis: Artificial Intelligence2024 · 2 citations
  2. 2Harnessing the Potential of Artificial Intelligence in Managing Viral Hepatitis2024 · 11 citations
  3. 3High performance deep-learning model for the diagnosis of auto-immune hepatitis based on histological whole slide images2026
  4. 4Multi-model applications and cutting-edge advancements of artificial intelligence in hepatology in the era of precision medicine2025 · 3 citations
  5. 5[Clinical characteristics, diagnosis, and treatment strategies for drug-induced autoimmune hepatitis].2025