AI in Healthcare: Transformative Applications and Emerging Challenges

  • Unique Paper ID: 185047
  • PageNo: 868-874
  • Abstract:
  • This paper provides a detailed review of the role of Artificial Intelligence (AI) in healthcare, focusing on its applications and challenges. AI technologies like machine learning, natural language processing, and predictive analytics are changing healthcare. They assist with diagnosis, personalize treatment, monitor patients, optimize healthcare operations, and improve public health. However, integrating AI into healthcare comes with significant challenges, including data privacy and security concerns, ethical and legal issues, difficulties with interoperability and integration, obstacles in scalability and accessibility, and the complexities of human-AI interaction. This review highlights the need for strong cybersecurity measures, ethical guidelines, clear legal frameworks, universal standards for interoperability, and fair access to AI technologies. To tackle these challenges, it recommends promoting collaboration across fields, improving healthcare education, and encouraging research and development. By addressing these issues, AI can achieve its full potential in improving healthcare delivery and patient outcomes.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{185047,
        author = {Ms. Miki Patel and Mr. Prakash Patel and Ms. Shreya Patel and Ms. Jinal Prajapati and Ms. Vaibhavi Parekh},
        title = {AI in Healthcare: Transformative Applications and Emerging Challenges},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {868-874},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185047},
        abstract = {This paper provides a detailed review of the role of Artificial Intelligence (AI) in healthcare, focusing on its applications and challenges. AI technologies like machine learning, natural language processing, and predictive analytics are changing healthcare. They assist with diagnosis, personalize treatment, monitor patients, optimize healthcare operations, and improve public health. However, integrating AI into healthcare comes with significant challenges, including data privacy and security concerns, ethical and legal issues, difficulties with interoperability and integration, obstacles in scalability and accessibility, and the complexities of human-AI interaction. This review highlights the need for strong cybersecurity measures, ethical guidelines, clear legal frameworks, universal standards for interoperability, and fair access to AI technologies. To tackle these challenges, it recommends promoting collaboration across fields, improving healthcare education, and encouraging research and development. By addressing these issues, AI can achieve its full potential in improving healthcare delivery and patient outcomes.},
        keywords = {},
        month = {October},
        }

Cite This Article

Patel, M. M., & Patel, M. P., & Patel, M. S., & Prajapati, M. J., & Parekh, M. V. (2025). AI in Healthcare: Transformative Applications and Emerging Challenges. International Journal of Innovative Research in Technology (IJIRT), 12(5), 868–874.

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