Harish Garg, PhD – Associate Professor, Department of Mathematics, Thapar Institute of Engineering & Technology, Deemed University, Punjab, India
Inam Ullah Khan, PhD – Professor, Azerbaijan University of Architecture and Construction, Baku, Azerbaijan
Mohammad Shahnawaz Shaikh, PhD – Associate Professor, Department of Computer Engineering – AI and Big Data, Marwadi University, Rajkot, India
Markus A. Launer, PhD – Professor, Ostfalia University of Applied Sciences and CoSiM Research Institute, Suderburg, Germany

Series: Advances in Intelligent Systems and Cognitive Engineering
BISAC: COM004000; COM079010; COM025000
DOI: https://doi.org/10.52305/YJWM8300

Artificial General Intelligence (AGI) for Intelligent Healthcare Systems presents a groundbreaking exploration of how next-generation intelligent technologies will transform global healthcare. Bridging cognitive engineering, neuro-symbolic reasoning, multimodal intelligence, federated architectures, digital therapeutics, and AGI-driven robotics, this book offers a comprehensive and forward-looking roadmap for building future-ready, trustworthy, and human-centered healthcare ecosystems. Across eighteen meticulously structured chapters, the book illustrates how AGI can elevate diagnostics, predictive analytics, surgery, rehabilitation, emergency response, remote monitoring, digital twins, and preventive medicine with unprecedented contextual awareness and adaptive learning. Real-world case studies from ICUs and telemedicine to oncology, neurorehabilitation, genomics, and public healthcare systems show measurable improvements in accuracy, autonomy, personalization, and clinical efficiency. Emphasizing transparency, safety, and ethical governance, the book demonstrates how AGI augments rather than replaces clinicians, enabling collaborative intelligence through human-in-the-loop models, cognitive decision support, and simulation-based training. It also addresses critical challenges, including interpretability, data security, interoperability, and fairness, offering practical frameworks such as federated AGI, blockchain-secured medical systems, and cognitive digital twin ecosystems. Designed for researchers, clinicians, technologists, policymakers, and graduate students, this book serves as a definitive guide to AGI-empowered healthcare innovation. It not only explains what AGI can do but also how it can be responsibly deployed to build resilient, scalable, equitable, and patient-centric medical systems for the future.