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AI in Healthcare: Enhancing Diagnosis, Treatment, and Healthcare Systems for a Smarter Future in India
  • Bheema Shanker Neyigapula
Bheema Shanker Neyigapula
Jawaharlal Nehru Technological University Hyderabad College of Engineering

Corresponding Author:[email protected]

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Abstract

Artificial Intelligence (AI) has emerged as a transformative technology in healthcare, promising to revolutionize diagnosis, treatment, and healthcare systems. This research paper explores the current state of AI applications in Indian healthcare, identifies key research questions, and examines ways AI can enhance diagnosis, treatment, and healthcare systems for a smarter future. A comprehensive literature review highlights strengths, limitations, and gaps in existing research, paving the way for novel contributions. The study focuses on AI-driven diagnosis, machine learning algorithms enabling early disease detection and accurate medical imaging. AI-guided treatment covers precision medicine, drug discovery, and robotics in surgical procedures. It examines AI’s role in enhancing healthcare systems with predictive analytics, patient monitoring, resource management, and administrative efficiency. Ethical considerations, data privacy, transparency, bias mitigation, regulatory frameworks, and policy implications are discussed. The research contributes to the domain of AI in healthcare, providing insights into conceptual underpinnings and recommendations for a smarter and efficient healthcare system in India.