Artificial Intelligence in Precision Health

Artificial Intelligence in Precision Health

From Concept to Applications

1st Edition - March 4, 2020

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  • Editor: Debmalya Barh
  • eBook ISBN: 9780128173381
  • Paperback ISBN: 9780128171332

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Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyze AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health.

Key Features

  • Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists
  • Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modeling disease physiology, and public health surveillance
  • Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care and clinical decision support


Bioinformaticians; clinicians; geneticists; molecular biologists

Table of Contents

  • Section 1: Artificial Intelligence Technologies
    1. Interpretable Artificial Intelligence: Addressing the Adoption Gap in Medicine
    Tavpritesh Sethi
    2. Artificial Intelligence methods in computer-aided diagnostic tools and decision support analytics for clinical informatics 
    Khajamoinuddin Syed, William C. Sleeman IV, Joseph J. Nalluri, Michael Hagan, Jatinder Palta, Rishabh Kapoor, and Preetam Ghosh
    3. Deep learning in Precision Medicine
    Amin Zadeh Shirazi, Eric Fornaciari, and Guillermo A. Gomez
    4. Machine learning systems and precision medicine: a conceptual and experimental approach to single individual statistics
    Enzo Grossi
    5. Machine learning in digital health, recent trends and on-going challenges
    Nicholas Cummins
    6. Data Mining to Transform Clinical and Translational Research Findings into Precision Health
    Estela S. Estape

    Section II: Applications and Precision Systems/Application of Artificial Intelligence
    7. Predictive Models in Precision Medicine
    Göksu Bozdereli Berikol, Gürkan Berikol
    8. Deep Neural Networks for Phenotype Prediction: Application to rare diseases
    Andrzej Kloczkowski
    9. Artificial Intelligence in the management of patients with intracranial neoplasms
    Marco Mammi and Omar Arnaout
    10. Artificial Intelligence to aid the early detection of Mental Illness
    Nicholas Cummins, Bjoern Schuller and Faith Matcham
    11. Use of Artificial Intelligence in Alzheimer Disease Detection
    Abdulhamit Subasi Sr.
    12. Artificial Intelligence to predict atheroma plaque vulnerability
    Myriam Cilla
    13. Decision support systems in cardiovascular medicine through artificial intelligence: applications in the diagnosis of infarction and prognosis of heart failure
    John Jaime Sprockel
    14. Artificial Intelligence for Decision Support Systems in Diabetes
    Josep Vehi and Ivan Contreras
    15. Clinical decision support systems to improve the diagnosis and management of respiratory diseases
    Pedro Lopes de Melo
    16. Use of Artificial Intelligence in Neurosurgery and Otorhinolaryngology (Head and Neck Surgery)
    Göksu Bozdereli Berikol, Gürkan Berikol, Durhasan Bozdereli
    17. Use of Artificial Intelligence in Emergency Medicine
    Göksu Bozdereli Berikol, Gürkan Berikol
    18. Use of Artificial Intelligence in Infectious diseases
    Anis Larbi
    19. Artificial Intelligence techniques applied to patient care and monitoring
    Francisco Eduardo Martínez-Pérez Sr.
    20. Use of artificial intelligence in precision nutrition and fitness
    Maria Helena Baena de Moraes Lopes

    Section III: Precision Systems
    21. Artificial Intelligence in Precision health: Systems in practice
    Saul Oswaldo Lugo Reyes

Product details

  • No. of pages: 544
  • Language: English
  • Copyright: © Academic Press 2020
  • Published: March 4, 2020
  • Imprint: Academic Press
  • eBook ISBN: 9780128173381
  • Paperback ISBN: 9780128171332

About the Editor

Debmalya Barh

Debmalya Barh
Dr. Debmalya Barh has an M.Sc. (Applied Genetics), Ph.D. (Biotechnology and Bioinformatics), Post-Doc (Bioinformatics), and PGDM (Postgraduate in Management). He has blended academic and industrial research for decades and is an expert in integrative omics-based biomarker and targeted drug discovery, genetic diagnosis, infectious diseases, and precision health. He is a Visiting Full Professor (Titular, Grade-E) at the Department of Genetics, Ecology, and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais, Brazil. He is also an honorary scientist at the Institute of Integrative Omics and Applied Biotechnology, India. Dr. Barh has published more than 200 research and review articles and more than 45 book chapters. He has also edited more than 25 books published by various publishers including Elsevier. He is an editorial board member of various journals, and frequently reviews articles for Elsevier.

Affiliations and Expertise

Principal Scientist, Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology, Nonakuri, Purba Medinipur, West Bengal, India

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  • Gabriela Sat Aug 13 2022

    Great Book - worth to buy!

    The content is interesting, on point and covers a variety of topics. I would recommend the book to anyone who is interested in a deeper insight into AI and the concept of ML in medical fields. For me it was helpful and made me acquire more knowledge.

  • PETRABURKE R. Sat May 02 2020

    Artificial Intelligence

    Great book. Easy to understand.