Artificial Intelligence in Precision Health

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 analyse 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

• 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, modelling 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

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 
Joseph Nalluri, Preetam Ghosh and syed Khajamoinuddin
3. Deep learning in Precision Medicine
Amin Zadeh Shirazi, Guillermo Gomez and Chunhua Shen
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
Goksu Bozdereli 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)
Goksu Bozdereli Berikol
17. Use of Artificial Intelligence in Emergency Medicine
Goksu Bozdereli 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