
Artificial Intelligence in Precision Health
From Concept to Applications
Description
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
Readership
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. EstapeSection 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 LopesSection 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

Affiliations and Expertise
Ratings and Reviews
Latest reviews
(Total rating for all reviews)
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.