The monograph “AI in Precision Healthcare: A New Frontier” explores the transformative role of Artificial Intelligence in reshaping healthcare through personalization, prediction, and data-driven decision-making. This work offers a comprehensive overview of the integration of AI technologies into various domains of precision medicine, ranging from diagnostics and therapeutics to patient monitoring and chronic disease management. It also examines the convergence of machine learning, deep learning, and big data
analytics with clinical practices to enable individualized treatment strategies. In addition, the book addresses key ethical, legal, and operational challenges such as data privacy, algorithmic bias, and accountability in AI systems. Through real-world applications, conceptual clarity, and multidisciplinary insights, this monograph serves as a vital resource for academicians, practitioners, and policymakers aiming to understand and enhance AI in modern healthcare systems.

Keywords: Artificial Intelligence, Precision Medicine, Machine Learning, Deep Learning, Diagnostics, Predictive Analytics, Personalized Treatment, Clinical Decision Support, Medical Imaging, Health Informatics, Wearable Devices, Data Privacy, Ethical AI, Healthcare Technology, Risk Prediction, Patient Monitoring

How to Cite this Monograph:

APA Style Citation:

Mohan Kumar, D. S., & Balakrishnan, D. G. (2025). AI in Precision Healthcare: A New Frontier (1st ed.). Jupiter Publications Consortium. https://doi.org/10.47715/978-93-86388-50-6

IEEE Style Citation:

D. S. Mohan Kumar and D. G. Balakrishnan, AI in Precision Healthcare: A New Frontier, 1st ed., Chennai, Tamil Nadu, India: Jupiter Publications Consortium, 2025. doi: 10.47715/978-93-86388-50-6.

Chicago Style Citation:

Mohan Kumar, Dr. S., and Dr. G. Balakrishnan. AI in Precision Healthcare: A New Frontier. Chennai, Tamil Nadu, India: Jupiter Publications Consortium, 2025. https://doi.org/10.47715/978-93-86388-50-6.

MLA Style Citation:

Mohan Kumar, S., and G. Balakrishnan. AI in Precision Healthcare: A New Frontier. Jupiter Publications Consortium, 2025. DOI: https://doi.org/10.47715/978-93-86388-50-6.

Author 1:

Prof. (Dr.) S. Mohan Kumar
M.Tech.[Software Engineering]
Ph.D [CSE-Medical Diagnosis CAD System]
Ph.D [Medical Imaging -Machine Learning]
Post Doctorate Degree D.Sc. [Engineering-DL]
EPLM (IIM-Calcutta)
D.Litt (Honorary)
Dean, Indra Ganesan College of Engineering
Tiruchirappalli, Tamil Nadu, India.

Author 2:

Prof. (Dr.) G. Balakrishnan
M.E .[Computer Science And Engineering]
PSG College of Technology, Coimbatore, India
Ph.D [Computer Science And Engineering]
Universiti Malaysia Sabah, Malaysia
Director (IGI) Syndicate Member (Anna University) Principal, Indra Ganesan College of Engineering
Tiruchirappalli, Tamil Nadu, India.

“AI and Healthcare: Monograph” presents an in-depth analysis of the integration of Artificial Intelligence (AI) into the healthcare sector. This book offers a comprehensive examination of AI’s role in revolutionizing various aspects of healthcare, from diagnostics and treatment to patient care and medical research. It begins by establishing a foundational understanding of AI and healthcare, including historical perspectives and future trends. The book then delves into the technical aspects of AI, such as machine learning and natural language processing, and their applications in healthcare. Special emphasis is given to personalized medicine, showcasing how AI contributes to advancements in genomic research and tailored treatments. Ethical, privacy, and regulatory considerations form a critical part of the discussion, highlighting the challenges and responsibilities of integrating AI in sensitive and impactful healthcare settings. The book also addresses the limitations and challenges of AI in healthcare, providing a balanced view of its potential and pitfalls. Finally, it looks ahead to the future of AI in healthcare, considering its role in upcoming health crises and its impact on healthcare providers, patients, and policy.

Keywords: AI, Healthcare, Machine Learning, Personalized Medicine, Ethical Considerations, Privacy, Future Trends, Diagnostics, Treatment, Medical Research