Ashish Bagwari is currently working as Head for the Department of Electronics and Communication Engineering at WIT Dehradun, Uttarakhand Technical University (State Government Technical University), Dehradun, India. He has more than 14.0 years of experience in industry, academics, and research. He received the Best WIT Faculty award in 2013 and 2015 and Best Project Guide Award in 2015. Dr. Bagwari has been awarded by the Corps of Electrical and Mechanical Engineers Prize from the Institution of Engineers, India (IEI) in December 2015. Also, received Outstanding Scientist Award 2021 from VDGOOD Technology, Chennai, India in November 2021, Dr. A.P.J. Abdul Kalam Life Time Achievement National Award 2022 from NISED, Bangalore, India in June 2022, “Best Teacher Award-2023” and “UTU Best Researcher Award-2024” from Veer Madho Singh Bhandari Uttarakhand Technical University, Dehradun on September 05, 2023, and 2024 respectively. Also, listed among the top 2% of scientists globally for 2024 according to Stanford University, USA and Elsevier, Netherland lists. Shivendra Dubey received the Bachalor of Engineering degree in Computer Science and Engineering from the RKDF Institute of Science & Technology, Bhopal, India in 2010, Master of Technology degree in Computer Science & Engineering from the Radharaman Institute of Technology & Science, Bhopal, India, in 2014 and the PhD degree in Computer Science and Engineering is about to completed from Jaypee University of Engineering and Technology, Guna, MP, India. He has 3 SCI, 1 SCOPUS, 8 conference publications with proceeding in SCOPUS, and more than 15 articles published in international journals. He has 2 book chapter publications. He has 3 Indian patent publications and 2 Australian patent publications with grant. Jorge Barbosa received his BS degrees in Data Processing Technology (1990) and Electrical Engineering (1991) from the Catholic University of Pelotas, Brazil. He obtained his MS and Ph.D. degrees in Computer Science from the Federal University of Rio Grande do Sul (UFRGS), Brazil, in 1996 and 2002, respectively. He conducted post-doctoral studies at Sungkyunkwan University (SKKU, Suwon, South Korea, 2016) and University of California Irvine (UCI, Irvine, USA, 2020). Nowadays, he is a full professor of Applied Computing Graduate Program (PPGCA) at the University of Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil. Additionally, he is a researcher of productivity at CNPq (the Brazilian Council for Scientific and Technological Development) and head of the Mobile Computing Laboratory (MobiLab/UNISINOS). His research interests are Ubiquitous Computing, Ambient Intelligence, Big Data, Internet of Things (IoT), Machine Learning,, Applied Computing in Health, Accessibility, Learning, Industry and Agriculture. Role and amount of work done for this book- Editor role, and he will prepare some chapters for the editor book, also preparing the Artificial Intelligence (AI) related works i.e. will work on section IV to VIII. Ciro Rodriguez is a Professor at the National University Mayor de San Marcos, Lima, Peru. Ciro Rodriguez is associated with the Department of Software Engineering at National University Mayor de San Marcos and associated with the Department of Informatics Engineering and Electronics at National University Federico Villarreal. He has completed his Doctoral studies in System Engineering and has advanced studies at the Institute of Theoretical Physics ICTP of Italy, in the United States Particle Accelerator School USPAS, and Information Technology Development Policy Studies Korea Telecom KT in South Korea. His research interests include Artificial Intelligence, Health-Social Welfare, Environment, Cybersecurity, and photonics. He has published over 100 research articles in reputed journals indexed in Scopus, WoS, and IEEE, and filed two patents in engineering fields. Recently published the book "Variables in the research methodology". Role and amount of work done for this book- Editor role, and will prepare some chapters for the editor book, also preparing the section II and III. Albena Mihovska holds a PhD degree in EEng (2008) from Aalborg University (AAU), Aalborg, Denmark. She has a strong academic research track record of more than 20 years, with positions as an Associate Professor at the Dept. of Electronic Systems at AAU (until 2017), Denmark and later as an Associate Professor in Digital Technologies at the Dept. of Business Development and Technology at Aarhus University (AU), Denmark. Currently, she holds positions as a CTO, SmartAvatar BV, Netherlands and as a Research Director at CTIF Global Capsule (CGC) Foundation, Skagen, Denmark, of which she is a Founding Member. Further, she is a Senior Research Expert at the Laboratory for Intelligent Communication and Infrastructure at Research & Development & Innovation Consortium (RDIC), Sofia, Bulgaria. Hugo Herrero Antón de Vez is an active surgeon and Director of Innovation and Strategy at Alma IT Systems. Specializing in model-guided medicine within computer-assisted surgery and personalized medicine, he combines his medical expertise with system architecture to advance digital transformation in healthcare. His research on precision medicine and workflow optimization, along with his contributions to international conferences and journals, highlight his role in integrating technology with medical practice. Dr. Herrero Antón de Vez is committed to a human-centered healthcare system, promoting value-based, patient-centered models, and digital democratization to drive innovative solutions in the field. He has also been actively involved in European and national projects aimed at integrating AI, Virtual Human Models with Infrastructure Virtual Twins for enabling a sustainable transformation of the healthcare ecosystem. Dr. Herrero is a member of the editorial committee of ISCAS and a scientific reviewer for the "International Journal of Computer Assisted Radiology and Surgery".

• PART I: Understanding the Landscape1. Problem Description: Challenges in Modern Healthcare2. Current Healthcare Infrastructures and StandardsPART II: A multidimensional approach to address healthcare ecosystem’s challenges3. Model-Guided Medicine: An Overview4. Harnessing Big Data Insights in Healthcare5. Challenges of AI in Healthcare6. Infrastructure perspectivePART III: Enhancing Diagnostics and Treatment7. Machine Learning and Predictive Analytics in Medical Diagnostics8. Optimizing Treatment with Machine LearningPART IV: Enhancing Healthcare Delivery9. Clinical Decision Support Systems Powered by AI10. Overcoming Ethical and Regulatory ChallengesPART V: Practical Implementation and Case Studies11. From Theory to Practice: Applying Machine Learning Models in Healthcare12. AI-Powered DiagnosticsPART VI: Advanced Techniques and Emerging Trends13. Deep Neural Networks for Predictive and Early Disease Identification14. Reinforcement Learning in Medical Decision Support Systems15. Explainable AI: Clarity and Confidence in Medical Decision-Making16. Few-Shot Learning and Transfer Learning for Medical Imaging17. Temporal Modeling with Long and Short-Term Memory Networks18. Unsupervised Learning for Anomaly Detection and Patient Stratification19. Scalable Architectures for Large-Scale Healthcare DataPART VII: Future Directions and Innovations20. Future Trends and Technologies in Healthcare21. Building Sustainable Business Models for AI in HealthcarePART VIII: Appendices and Additional Resources22. Glossary of Key Terms and Concepts23. Further Reading and Resources

Ashish Bagwari is currently working as Head for the Department of Electronics and Communication Engineering at WIT Dehradun, Uttarakhand Technical University (State Government Technical University), Dehradun, India. He has more than 14.0 years of experience in industry, academics, and research. He received the Best WIT Faculty award in 2013 and 2015 and Best Project Guide Award in 2015. Dr. Bagwari has been awarded by the Corps of Electrical and Mechanical Engineers Prize from the Institution of Engineers, India (IEI) in December 2015. Also, received Outstanding Scientist Award 2021 from VDGOOD Technology, Chennai, India in November 2021, Dr. A.P.J. Abdul Kalam Life Time Achievement National Award 2022 from NISED, Bangalore, India in June 2022, “Best Teacher Award-2023” and “UTU Best Researcher Award-2024” from Veer Madho Singh Bhandari Uttarakhand Technical University, Dehradun on September 05, 2023, and 2024 respectively. Also, listed among the top 2% of scientists globally for 2024 according to Stanford University, USA and Elsevier, Netherland lists. Shivendra Dubey received the Bachalor of Engineering degree in Computer Science and Engineering from the RKDF Institute of Science & Technology, Bhopal, India in 2010, Master of Technology degree in Computer Science & Engineering from the Radharaman Institute of Technology & Science, Bhopal, India, in 2014 and the PhD degree in Computer Science and Engineering is about to completed from Jaypee University of Engineering and Technology, Guna, MP, India. He has 3 SCI, 1 SCOPUS, 8 conference publications with proceeding in SCOPUS, and more than 15 articles published in international journals. He has 2 book chapter publications. He has 3 Indian patent publications and 2 Australian patent publications with grant. Jorge Barbosa received his BS degrees in Data Processing Technology (1990) and Electrical Engineering (1991) from the Catholic University of Pelotas, Brazil. He obtained his MS and Ph.D. degrees in Computer Science from the Federal University of Rio Grande do Sul (UFRGS), Brazil, in 1996 and 2002, respectively. He conducted post-doctoral studies at Sungkyunkwan University (SKKU, Suwon, South Korea, 2016) and University of California Irvine (UCI, Irvine, USA, 2020). Nowadays, he is a full professor of Applied Computing Graduate Program (PPGCA) at the University of Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil. Additionally, he is a researcher of productivity at CNPq (the Brazilian Council for Scientific and Technological Development) and head of the Mobile Computing Laboratory (MobiLab/UNISINOS). His research interests are Ubiquitous Computing, Ambient Intelligence, Big Data, Internet of Things (IoT), Machine Learning,, Applied Computing in Health, Accessibility, Learning, Industry and Agriculture. Role and amount of work done for this book- Editor role, and he will prepare some chapters for the editor book, also preparing the Artificial Intelligence (AI) related works i.e. will work on section IV to VIII. Ciro Rodriguez is a Professor at the National University Mayor de San Marcos, Lima, Peru. Ciro Rodriguez is associated with the Department of Software Engineering at National University Mayor de San Marcos and associated with the Department of Informatics Engineering and Electronics at National University Federico Villarreal. He has completed his Doctoral studies in System Engineering and has advanced studies at the Institute of Theoretical Physics ICTP of Italy, in the United States Particle Accelerator School USPAS, and Information Technology Development Policy Studies Korea Telecom KT in South Korea. His research interests include Artificial Intelligence, Health-Social Welfare, Environment, Cybersecurity, and photonics. He has published over 100 research articles in reputed journals indexed in Scopus, WoS, and IEEE, and filed two patents in engineering fields. Recently published the book "Variables in the research methodology". Role and amount of work done for this book- Editor role, and will prepare some chapters for the editor book, also preparing the section II and III. Albena Mihovska holds a PhD degree in EEng (2008) from Aalborg University (AAU), Aalborg, Denmark. She has a strong academic research track record of more than 20 years, with positions as an Associate Professor at the Dept. of Electronic Systems at AAU (until 2017), Denmark and later as an Associate Professor in Digital Technologies at the Dept. of Business Development and Technology at Aarhus University (AU), Denmark. Currently, she holds positions as a CTO, SmartAvatar BV, Netherlands and as a Research Director at CTIF Global Capsule (CGC) Foundation, Skagen, Denmark, of which she is a Founding Member. Further, she is a Senior Research Expert at the Laboratory for Intelligent Communication and Infrastructure at Research & Development & Innovation Consortium (RDIC), Sofia, Bulgaria. Hugo Herrero Antón de Vez is an active surgeon and Director of Innovation and Strategy at Alma IT Systems. Specializing in model-guided medicine within computer-assisted surgery and personalized medicine, he combines his medical expertise with system architecture to advance digital transformation in healthcare. His research on precision medicine and workflow optimization, along with his contributions to international conferences and journals, highlight his role in integrating technology with medical practice. Dr. Herrero Antón de Vez is committed to a human-centered healthcare system, promoting value-based, patient-centered models, and digital democratization to drive innovative solutions in the field. He has also been actively involved in European and national projects aimed at integrating AI, Virtual Human Models with Infrastructure Virtual Twins for enabling a sustainable transformation of the healthcare ecosystem. Dr. Herrero is a member of the editorial committee of ISCAS and a scientific reviewer for the "International Journal of Computer Assisted Radiology and Surgery".

• PART I: Understanding the Landscape1. Problem Description: Challenges in Modern Healthcare2. Current Healthcare Infrastructures and StandardsPART II: A multidimensional approach to address healthcare ecosystem’s challenges3. Model-Guided Medicine: An Overview4. Harnessing Big Data Insights in Healthcare5. Challenges of AI in Healthcare6. Infrastructure perspectivePART III: Enhancing Diagnostics and Treatment7. Machine Learning and Predictive Analytics in Medical Diagnostics8. Optimizing Treatment with Machine LearningPART IV: Enhancing Healthcare Delivery9. Clinical Decision Support Systems Powered by AI10. Overcoming Ethical and Regulatory ChallengesPART V: Practical Implementation and Case Studies11. From Theory to Practice: Applying Machine Learning Models in Healthcare12. AI-Powered DiagnosticsPART VI: Advanced Techniques and Emerging Trends13. Deep Neural Networks for Predictive and Early Disease Identification14. Reinforcement Learning in Medical Decision Support Systems15. Explainable AI: Clarity and Confidence in Medical Decision-Making16. Few-Shot Learning and Transfer Learning for Medical Imaging17. Temporal Modeling with Long and Short-Term Memory Networks18. Unsupervised Learning for Anomaly Detection and Patient Stratification19. Scalable Architectures for Large-Scale Healthcare DataPART VII: Future Directions and Innovations20. Future Trends and Technologies in Healthcare21. Building Sustainable Business Models for AI in HealthcarePART VIII: Appendices and Additional Resources22. Glossary of Key Terms and Concepts23. Further Reading and Resources

Ashish Bagwari is currently working as Head for the Department of Electronics and Communication Engineering at WIT Dehradun, Uttarakhand Technical University (State Government Technical University), Dehradun, India. He has more than 14.0 years of experience in industry, academics, and research. He received the Best WIT Faculty award in 2013 and 2015 and Best Project Guide Award in 2015. Dr. Bagwari has been awarded by the Corps of Electrical and Mechanical Engineers Prize from the Institution of Engineers, India (IEI) in December 2015. Also, received Outstanding Scientist Award 2021 from VDGOOD Technology, Chennai, India in November 2021, Dr. A.P.J. Abdul Kalam Life Time Achievement National Award 2022 from NISED, Bangalore, India in June 2022, “Best Teacher Award-2023” and “UTU Best Researcher Award-2024” from Veer Madho Singh Bhandari Uttarakhand Technical University, Dehradun on September 05, 2023, and 2024 respectively. Also, listed among the top 2% of scientists globally for 2024 according to Stanford University, USA and Elsevier, Netherland lists. Shivendra Dubey received the Bachalor of Engineering degree in Computer Science and Engineering from the RKDF Institute of Science & Technology, Bhopal, India in 2010, Master of Technology degree in Computer Science & Engineering from the Radharaman Institute of Technology & Science, Bhopal, India, in 2014 and the PhD degree in Computer Science and Engineering is about to completed from Jaypee University of Engineering and Technology, Guna, MP, India. He has 3 SCI, 1 SCOPUS, 8 conference publications with proceeding in SCOPUS, and more than 15 articles published in international journals. He has 2 book chapter publications. He has 3 Indian patent publications and 2 Australian patent publications with grant. Jorge Barbosa received his BS degrees in Data Processing Technology (1990) and Electrical Engineering (1991) from the Catholic University of Pelotas, Brazil. He obtained his MS and Ph.D. degrees in Computer Science from the Federal University of Rio Grande do Sul (UFRGS), Brazil, in 1996 and 2002, respectively. He conducted post-doctoral studies at Sungkyunkwan University (SKKU, Suwon, South Korea, 2016) and University of California Irvine (UCI, Irvine, USA, 2020). Nowadays, he is a full professor of Applied Computing Graduate Program (PPGCA) at the University of Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil. Additionally, he is a researcher of productivity at CNPq (the Brazilian Council for Scientific and Technological Development) and head of the Mobile Computing Laboratory (MobiLab/UNISINOS). His research interests are Ubiquitous Computing, Ambient Intelligence, Big Data, Internet of Things (IoT), Machine Learning,, Applied Computing in Health, Accessibility, Learning, Industry and Agriculture. Role and amount of work done for this book- Editor role, and he will prepare some chapters for the editor book, also preparing the Artificial Intelligence (AI) related works i.e. will work on section IV to VIII. Ciro Rodriguez is a Professor at the National University Mayor de San Marcos, Lima, Peru. Ciro Rodriguez is associated with the Department of Software Engineering at National University Mayor de San Marcos and associated with the Department of Informatics Engineering and Electronics at National University Federico Villarreal. He has completed his Doctoral studies in System Engineering and has advanced studies at the Institute of Theoretical Physics ICTP of Italy, in the United States Particle Accelerator School USPAS, and Information Technology Development Policy Studies Korea Telecom KT in South Korea. His research interests include Artificial Intelligence, Health-Social Welfare, Environment, Cybersecurity, and photonics. He has published over 100 research articles in reputed journals indexed in Scopus, WoS, and IEEE, and filed two patents in engineering fields. Recently published the book "Variables in the research methodology". Role and amount of work done for this book- Editor role, and will prepare some chapters for the editor book, also preparing the section II and III. Albena Mihovska holds a PhD degree in EEng (2008) from Aalborg University (AAU), Aalborg, Denmark. She has a strong academic research track record of more than 20 years, with positions as an Associate Professor at the Dept. of Electronic Systems at AAU (until 2017), Denmark and later as an Associate Professor in Digital Technologies at the Dept. of Business Development and Technology at Aarhus University (AU), Denmark. Currently, she holds positions as a CTO, SmartAvatar BV, Netherlands and as a Research Director at CTIF Global Capsule (CGC) Foundation, Skagen, Denmark, of which she is a Founding Member. Further, she is a Senior Research Expert at the Laboratory for Intelligent Communication and Infrastructure at Research & Development & Innovation Consortium (RDIC), Sofia, Bulgaria. Hugo Herrero Antón de Vez is an active surgeon and Director of Innovation and Strategy at Alma IT Systems. Specializing in model-guided medicine within computer-assisted surgery and personalized medicine, he combines his medical expertise with system architecture to advance digital transformation in healthcare. His research on precision medicine and workflow optimization, along with his contributions to international conferences and journals, highlight his role in integrating technology with medical practice. Dr. Herrero Antón de Vez is committed to a human-centered healthcare system, promoting value-based, patient-centered models, and digital democratization to drive innovative solutions in the field. He has also been actively involved in European and national projects aimed at integrating AI, Virtual Human Models with Infrastructure Virtual Twins for enabling a sustainable transformation of the healthcare ecosystem. Dr. Herrero is a member of the editorial committee of ISCAS and a scientific reviewer for the "International Journal of Computer Assisted Radiology and Surgery".

• PART I: Understanding the Landscape1. Problem Description: Challenges in Modern Healthcare2. Current Healthcare Infrastructures and StandardsPART II: A multidimensional approach to address healthcare ecosystem’s challenges3. Model-Guided Medicine: An Overview4. Harnessing Big Data Insights in Healthcare5. Challenges of AI in Healthcare6. Infrastructure perspectivePART III: Enhancing Diagnostics and Treatment7. Machine Learning and Predictive Analytics in Medical Diagnostics8. Optimizing Treatment with Machine LearningPART IV: Enhancing Healthcare Delivery9. Clinical Decision Support Systems Powered by AI10. Overcoming Ethical and Regulatory ChallengesPART V: Practical Implementation and Case Studies11. From Theory to Practice: Applying Machine Learning Models in Healthcare12. AI-Powered DiagnosticsPART VI: Advanced Techniques and Emerging Trends13. Deep Neural Networks for Predictive and Early Disease Identification14. Reinforcement Learning in Medical Decision Support Systems15. Explainable AI: Clarity and Confidence in Medical Decision-Making16. Few-Shot Learning and Transfer Learning for Medical Imaging17. Temporal Modeling with Long and Short-Term Memory Networks18. Unsupervised Learning for Anomaly Detection and Patient Stratification19. Scalable Architectures for Large-Scale Healthcare DataPART VII: Future Directions and Innovations20. Future Trends and Technologies in Healthcare21. Building Sustainable Business Models for AI in HealthcarePART VIII: Appendices and Additional Resources22. Glossary of Key Terms and Concepts23. Further Reading and Resources