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June 13, 2026International Journal of Applied Research on Information Technology and Computing

On the Insights of Artificial Intelligence in Healthcare

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Authors

GSGoutam Kumar SahaAmetek (Germany)

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Implication

Review synthesizes evidence on AI's role in enhancing diagnostic precision and operational efficiency in healthcare, while addressing associated risks.

Key Points

  • This review aims to synthesize current evidence regarding the effects of artificial intelligence in healthcare.
  • Reviewed recent studies across various specializations such as cardiology and radiology.
  • Analyzed the adoption of AI for clinical tasks and documentation in healthcare organizations.
  • Examined the risks and governance required for responsible AI deployment.
  • AI improves diagnostic precision and supports treatment planning across multiple healthcare fields.
  • Machine learning models consistently outperform traditional predictive tools in analyzing data.
  • There are persistent concerns regarding interpretability, fairness, privacy, and regulatory issues.

Cite This Study

Goutam Kumar Saha (2026) studied this question.

synapsesocial.com/papers/6a2cf5d7faef96ed7f057bb2https://doi.org/10.5958/0975-8089.2026.00003.5
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Also Consider

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

  1. 1Artificial Intelligence in Clinical Decision-Making: Current Applications, Challenges, and Future Directions in Modern Healthcare2026
  2. 2Artificial Intelligence in Healthcare. A review of recent trends, applications, challenges and future directions2026
  3. 3Impact of AI in Healthcare: Diagnostic and Therapeutic Prospective2026
  4. 4Artificial Intelligence in Patient Care: A Systematic Review of Modern Healthcare Innovations2025
  5. 5AI in Modern Healthcare-Revolutionizing Diagnosis, Treatment, and Patient Care2026