Intelligent Computing for Real-World Digital Transformation ; Volume – I : Artificial Intelligence for Healthcare, Language Processing, and Human-Centric Systems

Intelligent Computing for Real-World Digital Transformation; Volume I: Artificial Intelligence for Healthcare, Language Processing, and Human-Centric Systems presents a focused collection of research and practical insights that demonstrate how modern AI is reshaping digital services, decision-making, and user experiences. The volume highlights end-to-end intelligent solutions across three key domains: AI for healthcare, language processing, and human-centric systems. Chapters cover core methods such as machine learning, deep learning, computer vision, natural language processing, and explainable AI, alongside real-world deployments including clinical decision support, medical image understanding, patient monitoring, smart assistive technologies, and multilingual text analytics.

With emphasis on robustness, ethics, privacy, and usability, the book bridges theoretical advances with implementation considerations—datasets, evaluation metrics, system architectures, and deployment constraints. It is intended for researchers, postgraduate students, and industry professionals seeking to design scalable, responsible, and impactful intelligent applications. By combining domain-driven case studies with emerging trends, this volume serves as a valuable reference for building AI systems that deliver measurable benefits in healthcare and human-centered digital transformation.

Mr. P. Yogendra Prasad is a dedicated academician, researcher, and mentor in the field of Artificial Intelligence and Intelligent Systems. He holds a Master’s degree in Computer Science and Engineering from Jawaharlal Nehru Technological University Anantapur (JNTUA). He is currently pursuing his Ph.D. in Computer Science and Engineering at Mohan Babu University, Andhra Pradesh, with a research focus on machine learning, image processing, and computer vision.
With a strong commitment to applied research and outcome-based education, Mr. P. Yogendra Prasad has guided and supervised numerous student projects that address real-world problems across healthcare, agriculture, cybersecurity, finance, and smart systems using machine learning, deep learning, natural language processing, and computer vision techniques. His work emphasizes the translation of theoretical AI models into practical, deployable solutions.
He has published research articles in reputed international journals and conference proceedings and actively contributes to interdisciplinary research that bridges artificial intelligence, medical informatics, and intelligent automation. His academic interests include AI-driven healthcare analytics, visual intelligence, and language-based systems, with a special focus on developing socially impactful and ethically responsible AI technologies.