“IMPACT OF ARTIFICIAL INTELLIGENCE ON HEALTHCARE SECTOR”

AUTHOR– AJAY SINHA* & DR. SHOVA DEVI**

* LL.M. STUDENT ATAMITY UNIVERSITY LUCKNOW

** ASSISTANT PROFESSOR AT AMITY UNIVERSITY LUCKNOW

BEST CITATION – AJAY SINHA & DR. SHOVA DEVI, “IMPACT OF ARTIFICIAL INTELLIGENCE ON  HEALTHCARE SECTOR”, INDIAN JOURNAL OF LEGAL REVIEW (IJLR), 5 (7) OF 2025, PG. 695-711, APIS – 3920 – 0001 & ISSN – 2583-2344

ABSTRACT

Artificial Intelligence (AI) has emerged as a transformative force in the healthcare sector, revolutionizing patient care, medical research, and administrative operations. This paper explores the extensive impact of AI on healthcare by reviewing current literature and examining various applications such as diagnostics, predictive analytics, personalized medicine, drug discovery, and virtual health assistance. AI-driven technologies have proven effective in enhancing diagnostic accuracy through medical imaging, optimizing hospital operations, and improving decision-making processes. The integration of machine learning algorithms in drug discovery has expedited the development of new treatments, reducing both time and costs. Moreover, AI-powered virtual assistants have reshaped patient engagement, offering real-time health monitoring and support.

However, the rapid adoption of AI in healthcare also raises ethical and legal concerns, including biases in AI models, data privacy issues, and regulatory challenges. The literature highlights the need for robust frameworks to ensure transparent and fair decision-making while protecting patient data. Despite these challenges, ongoing advancements in AI research hold immense promise for personalized and efficient healthcare delivery. This paper underscores the importance of interdisciplinary collaboration, ethical governance, and continuous research to maximize the benefits of AI in healthcare while minimizing its risks. By identifying emerging trends and key challenges, the study offers insights into future directions for AI integration in healthcare, paving the way for a smarter and more accessible healthcare system.

KEYWORDS –Artificial Intelligence, Healthcare Innovation, Predictive Analytics, Personalized Medicine, Medical Diagnostics, Ethical AI