A CRITICAL REVIEW AI HEALTHCARE is a M.Tech project topic for Computer Science & Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
A CRITICAL REVIEW AI HEALTHCARE Project Details
| Abstract |
This research critically examines the current state and future trajectory of Artificial Intelligence (AI) integration within the Indian healthcare sector, acknowledging its nascent development phase and the dynamic regulatory landscape. The study highlights significant governmental initiatives, including national strategies and state-level policies, aimed at fostering the responsible and ethical deployment of AI. Key applications of AI in healthcare, such as mining medical records, generating personalized treatment plans, predicting health occurrences, supporting clinical decision-making, and managing prescriptions, are identified as areas with substantial potential. Concurrently, the review addresses the inherent advantages and disadvantages associated with AI adoption in this critical domain, emphasizing the need for careful consideration of ethical implications and
societal impact. From a software engineering and distributed systems perspective, this work underscores the imperative for designing robust, scalable, and ethically compliant architectures to facilitate the secure and effective deployment of AI solutions in healthcare. It emphasizes the importance of architectural considerations that support data privacy, regulatory adherence, and the seamless integration of diverse AI models across various healthcare operations, thereby contributing to the development of responsible AI frameworks tailored for the Indian context and addressing the unique challenges of a developing regulatory ecosystem.
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| Reference Paper |
A CRITICAL REVIEW OF AI IN HEALTHCARE FROM AN INDIAN PERSPECTIVE |
| Domain |
Computer Science & Engineering |
| Sub-Domain |
Software Engineering / Distributed Systems |
| PDF Download |
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