Smart Medicine: The Role of Artificial Intelligence and Machine Learning in Next-Generation Healthcare Innovation

Authors

  • Ramanakar Reddy Danda IT architect, CNH, NC
  • Zakera Yasmeen Data engineering lead Microsoft,
  • Gowtham Mandala Research Student
  • Kiran Kumar Maguluri IT systems Architect, Cigna Plano,
  • Pambala ganesh Integration lead

DOI:

https://doi.org/10.70135/seejph.vi.2201

Keywords:

Artificial Intelligence (AI), Machine Learning (ML),Healthcare Innovation, Precision Medicine, Predictive Analytics, HealthTech, Personalized Healthcare, Clinical Decision Support Systems (CDSS),Medical Data Analysis, AI-driven Diagnostics.

Abstract

The paper focuses on big data and healthcare pharmaceuticals, which pose both great promise and challenge as they can contribute to well-being and deliver innovation and knowledge to next-generation healthcare products. This paper provides an overview of the benefits that machine learning and big data technology contribute to healthcare systems. Realities such as patient and healthcare professional demands, the number of diseases, insufficient drugs, regulations, legal and ethical guideline restrictions, modus operandi, and technology development take place in the healthcare sector. In addition, big data opportunities and challenges for healthcare companies, research, and healthcare infrastructure are discussed. Finally, a vision of health innovation through personalized medicines as well as smart medicine is presented as a step closer to patients through regulatory, legal, and ethical guidelines, applications, and opportunities that need to be regulated and resolved.

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Published

2024-11-14

How to Cite

Danda, R. R., Yasmeen, Z., Mandala, G., Maguluri, K. K., & ganesh, P. (2024). Smart Medicine: The Role of Artificial Intelligence and Machine Learning in Next-Generation Healthcare Innovation . South Eastern European Journal of Public Health, 1693–1703. https://doi.org/10.70135/seejph.vi.2201

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