Revolutionizing medicine: the role of AI in healthcare

Authors

  • V PremaLatha Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, VADDESWARAM, AP, INDIA-522302 Author
  • Dinesh Kumar Anguraj Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, VADDESWARAM, AP, INDIA-522302 Author
  • Nikhat Parveen Department of Information Science, University of Bisha, P.O. Box 551, Bisha, Saudi Arabia Author

DOI:

https://doi.org/10.71459/edutech202525

Keywords:

Artificial Intelligence (AI), Healthcare, Machine Learning, Diagnostics, Precision Surgery, Ethical Challenges, Personalized Care

Abstract

Artificial Intelligence (AI) is transforming the healthcare sector, introducing revolutionary advancements that redefine patient care and medical practices. From diagnostics to treatment planning, AI-powered tools enhance accuracy, efficiency, and accessibility. Machine learning algorithms can analyze complex medical data, identifying patterns and predicting outcomes that aid in early disease detection. AI-driven robotic systems support precision surgeries, while natural language processing facilitates seamless medical record management. Moreover, AI-enabled virtual health assistants and chatbots extend 24/7 healthcare support, bridging gaps in traditional systems. Ethical challenges, such as data privacy, transparency, and equitable access, are critical considerations as AI becomes more integral to healthcare. Collaborative efforts between healthcare professionals, technologists, and policymakers are vital to ensure ethical AI deployment.As AI continues to evolve, its potential to reshape healthcare is immense. This convergence of technology and medicine aims to foster personalized care and improved health outcomes, ushering in a future of innovation and inclusivity.

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Published

2025-04-15

How to Cite

PremaLatha, V., Dinesh Kumar, A. ., & Parveen , N. (2025). Revolutionizing medicine: the role of AI in healthcare. Edu - Tech Enterprise, 3, 25. https://doi.org/10.71459/edutech202525