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.

The convergence of deep learning and healthcare marks a pivotal moment in the evolution of both fields. “Deep Learning in Healthcare” is a comprehensive exploration of the profound impact of artificial intelligence (AI) and deep learning on healthcare. This monograph delves into fundamental deep learning concepts, practical tools and frameworks, and transformative applications across healthcare domains. From predictive models aiding in disease detection to precise medical image analysis, clinical text data processing, and the integration of wearable devices for remote monitoring, deep learning has revolutionized every facet of healthcare.
However, this transformation is accompanied by challenges related to ethics, privacy, and regulation. Ethical considerations, privacy concerns, and regulatory frameworks are integral to AI and healthcare. Real-world case studies within this monograph provide insights into successful implementations and lessons learned from failed projects, offering guidance, best practices, and recommendations.
In the concluding chapter, we contemplate the road ahead. The future promises boundless innovation, where AI and deep learning continue to enhance medical practice and global well-being. Collaboration, dedication, and a commitment to ethical principles will shape a future where deep learning elevates healthcare.

Keywords: Deep Learning, Healthcare, Artificial Intelligence, Predictive Models, Medical Imaging, Clinical Data, Wearable Devices, Ethical Considerations, Privacy, Regulation, Real-World Applications, Innovation, Collaboration.