FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

AIoT Innovations in Digital Health

Inam Ullah Khan
    Product form
      FORMAT: Paperback / softback

      R 2,670.00 Price and availability exclusive to website

      YOU COULD EARN 2,670 FUTURE RETAIL DISCOUNTS.
      ESTIMATED DELIVERY: Approx. 20 - 30 Business Days
      BUY NOW PAY LATER
      From R 445.00 per month!
      3x monthly payments of R 890.00 with
      4x fortnightly payments of R 667.50 with

      Artificial Intelligence (AI) innovations in digital health offer unprecedented opportunities to facilitate human health and provide tools and techniques that reduce overall costs. This book discusses the use of AI to improve diagnostic accuracy, patient monitoring, the use of remote diagnostic tools, identification of life-threatening diseases, medical robotics applications, drug discovery, technology-driven solutions, and much more.AIoT Innovations in Digital Health: Emerging Trends, Challenges, and Solutions presents integrated technologies such as Green Computing, IoT, and Big Data using AI, Machine Learning, Deep Learning, and Federated Learning for Healthcare. It discusses the future of medical robotics using Machine Learning and highlights the use of Federated Learning-based patient monitoring applications. This book also elaborates on the role that AI and Machine Learning play in drug discovery.Interested readers will include anyone working in or involved in smart healthcare research which includes, but is not limited to, healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

      Format: Paperback / softback CONTRIBUTORS: Inam Ullah Khan EAN: 9781032745701 COUNTRY: United Kingdom PAGES: 156 WEIGHT: HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2026-08-27 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, MEDICAL / Informatics WIDTH: 156 mm SPINE:

      Book Themes:

      Medical and health informatics, Artificial intelligence

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Dr. Inam Ullah Khan is the Founder of the Internet of Flying Vehicles Lab at AI-EYS. Recently, he has been working as a Global Mentor/Guest Lecturer at Impact Xcelerator, IE School of Science and Technology, Madrid, Spain. Previously, he was working as a visiting researcher at King’s College London, United Kingdom. Also, he was a faculty member at different universities in Pakistan including the Center for Emerging Sciences Engineering and Technology (CESET), Islamabad, Abdul Wali Khan University, Garden Campus, Timergara Campus, University of Swat & Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad Campus. Dr. Khan completed his Ph.D. in Electronics Engineering from the Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). He earned his M.S. degree in Electronic Engineering at the Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS), and his undergraduate degree in Bachelor of Computer Science from Abdul Wali Khan University Mardan, Pakistan. He has authored/co-authored more than 50 research articles in reputable journals, conferences, and as book chapters. He has served in many international conferences as a session chair or technical program committee member. As well as serving as a Guest Editor with many prestigious international journals. His research interests include Network System Security, Intrusion Detection, Intrusion Prevention, cryptography, Optimization techniques, WSN, IoT, Mobile Ad Hoc Networks (MANETS), Flying Ad Hoc Networks, and Machine Learning.Dr. Salma El Hajjami (Eng., Ph.D.) is an Assistant Professor and Researcher at the Faculty of Science, Ibn Zohr University, Agadir, Morocco since 2021. She earned her Ph.D. 2021 in Computer Science, from the Laboratory of Artificial Intelligence, Data Science and Emerging Systems from ENSA, Sidi Mohammed Ben Abdellah University, Fez, Morocco. She is a Computer Science Engineer, who graduated in 2015 from the National School of Applied Sciences Fez, Morocco. She is a member of the International Association of Engineers (IAENG) and the International Association of Online Engineering. Dr. Salma has made contributions in the fields of Social Big Data, Semantics Analytics, Anomaly Detection, and Imbalanced Big Data published at international conferences and journals. Her main research topics are Machine Learning, Deep Learning, Imbalanced Big Data, Data Science, and Blockchain.Dr. Shashi Kant Gupta, Post-Doctoral Fellow and Researcher, Computer Science and Engineering, Eudoxia Research University, USA in collaboration with Eudoxia Research Centre, India. He has completed his Ph.D. in CSE from Integral University, Lucknow, UP, India, He is currently working as the Founder and CEO of CREP PVT. LTD., Lucknow, UP, India. He has been a member of Spectrum IEEE & Potentials Magazine IEEE since 2019 and many more international org

      Artificial Intelligence (AI) innovations in digital health offer unprecedented opportunities to facilitate human health and provide tools and techniques that reduce overall costs. This book discusses the use of AI to improve diagnostic accuracy, patient monitoring, the use of remote diagnostic tools, identification of life-threatening diseases, medical robotics applications, drug discovery, technology-driven solutions, and much more.AIoT Innovations in Digital Health: Emerging Trends, Challenges, and Solutions presents integrated technologies such as Green Computing, IoT, and Big Data using AI, Machine Learning, Deep Learning, and Federated Learning for Healthcare. It discusses the future of medical robotics using Machine Learning and highlights the use of Federated Learning-based patient monitoring applications. This book also elaborates on the role that AI and Machine Learning play in drug discovery.Interested readers will include anyone working in or involved in smart healthcare research which includes, but is not limited to, healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

      Format: Paperback / softback CONTRIBUTORS: Inam Ullah Khan EAN: 9781032745701 COUNTRY: United Kingdom PAGES: 156 WEIGHT: HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2026-08-27 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, MEDICAL / Informatics WIDTH: 156 mm SPINE:

      Book Themes:

      Medical and health informatics, Artificial intelligence

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Dr. Inam Ullah Khan is the Founder of the Internet of Flying Vehicles Lab at AI-EYS. Recently, he has been working as a Global Mentor/Guest Lecturer at Impact Xcelerator, IE School of Science and Technology, Madrid, Spain. Previously, he was working as a visiting researcher at King’s College London, United Kingdom. Also, he was a faculty member at different universities in Pakistan including the Center for Emerging Sciences Engineering and Technology (CESET), Islamabad, Abdul Wali Khan University, Garden Campus, Timergara Campus, University of Swat & Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad Campus. Dr. Khan completed his Ph.D. in Electronics Engineering from the Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). He earned his M.S. degree in Electronic Engineering at the Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS), and his undergraduate degree in Bachelor of Computer Science from Abdul Wali Khan University Mardan, Pakistan. He has authored/co-authored more than 50 research articles in reputable journals, conferences, and as book chapters. He has served in many international conferences as a session chair or technical program committee member. As well as serving as a Guest Editor with many prestigious international journals. His research interests include Network System Security, Intrusion Detection, Intrusion Prevention, cryptography, Optimization techniques, WSN, IoT, Mobile Ad Hoc Networks (MANETS), Flying Ad Hoc Networks, and Machine Learning.Dr. Salma El Hajjami (Eng., Ph.D.) is an Assistant Professor and Researcher at the Faculty of Science, Ibn Zohr University, Agadir, Morocco since 2021. She earned her Ph.D. 2021 in Computer Science, from the Laboratory of Artificial Intelligence, Data Science and Emerging Systems from ENSA, Sidi Mohammed Ben Abdellah University, Fez, Morocco. She is a Computer Science Engineer, who graduated in 2015 from the National School of Applied Sciences Fez, Morocco. She is a member of the International Association of Engineers (IAENG) and the International Association of Online Engineering. Dr. Salma has made contributions in the fields of Social Big Data, Semantics Analytics, Anomaly Detection, and Imbalanced Big Data published at international conferences and journals. Her main research topics are Machine Learning, Deep Learning, Imbalanced Big Data, Data Science, and Blockchain.Dr. Shashi Kant Gupta, Post-Doctoral Fellow and Researcher, Computer Science and Engineering, Eudoxia Research University, USA in collaboration with Eudoxia Research Centre, India. He has completed his Ph.D. in CSE from Integral University, Lucknow, UP, India, He is currently working as the Founder and CEO of CREP PVT. LTD., Lucknow, UP, India. He has been a member of Spectrum IEEE & Potentials Magazine IEEE since 2019 and many more international org

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account