Artificial Intelligence in Precision Health
From Concept to Applications
- 1st Edition - March 4, 2020
- Latest edition
- Editor: Debmalya Barh
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 7 1 3 3 - 2
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 7 3 3 8 - 1
Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applicati… Read more
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.
- 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
Section 1: Artificial Intelligence Technologies1. Interpretable Artificial Intelligence: Addressing the Adoption Gap in MedicineTavpritesh Sethi2. 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 Ghosh3. Deep learning in Precision MedicineAmin Zadeh Shirazi, Eric Fornaciari, and Guillermo A. Gomez4. Machine learning systems and precision medicine: a conceptual and experimental approach to single individual statisticsEnzo Grossi5. Machine learning in digital health, recent trends and on-going challengesNicholas Cummins6. Data Mining to Transform Clinical and Translational Research Findings into Precision HealthEstela S. Estape
Section II: Applications and Precision Systems/Application of Artificial Intelligence7. Predictive Models in Precision MedicineGöksu Bozdereli Berikol, Gürkan Berikol8. Deep Neural Networks for Phenotype Prediction: Application to rare diseasesAndrzej Kloczkowski9. Artificial Intelligence in the management of patients with intracranial neoplasmsMarco Mammi and Omar Arnaout10. Artificial Intelligence to aid the early detection of Mental IllnessNicholas Cummins, Bjoern Schuller and Faith Matcham11. Use of Artificial Intelligence in Alzheimer Disease DetectionAbdulhamit Subasi Sr.12. Artificial Intelligence to predict atheroma plaque vulnerabilityMyriam Cilla13. Decision support systems in cardiovascular medicine through artificial intelligence: applications in the diagnosis of infarction and prognosis of heart failureJohn Jaime Sprockel14. Artificial Intelligence for Decision Support Systems in DiabetesJosep Vehi and Ivan Contreras15. Clinical decision support systems to improve the diagnosis and management of respiratory diseasesPedro Lopes de Melo16. Use of Artificial Intelligence in Neurosurgery and Otorhinolaryngology (Head and Neck Surgery)Göksu Bozdereli Berikol, Gürkan Berikol, Durhasan Bozdereli17. Use of Artificial Intelligence in Emergency MedicineGöksu Bozdereli Berikol, Gürkan Berikol18. Use of Artificial Intelligence in Infectious diseasesAnis Larbi19. Artificial Intelligence techniques applied to patient care and monitoringFrancisco Eduardo Martínez-Pérez Sr.20. Use of artificial intelligence in precision nutrition and fitnessMaria Helena Baena de Moraes Lopes
Section III: Precision Systems21. Artificial Intelligence in Precision health: Systems in practiceSaul Oswaldo Lugo Reyes
- Edition: 1
- Latest edition
- Published: March 4, 2020
- Language: English
DB
Debmalya Barh
Dr. Debmalya Barh is currently a Visiting Full Professor (Titular, Grade-E) in Bioinformatics and Precision Health at the Department of Genetics, Ecology, and Evolution, ICB, Federal University of Minas Gerais, Brazil and honorary scientist of the Institute of Integrative Omics and Applied Biotechnology (IIOAB), India. With over 20 years of experience, he has led academic, healthcare, molecular diagnostic, and bioinformatics industry endeavors. He works with more than 400 scientists from 100+ top ranked organizations across 40+ countries and has 220+ publications and a branded editor for 10+ cutting-edge omics related reference books. He is an expert in in precision/personalized health and integrative omics-based biomarker and target discovery in infectious and complex lifestyle diseases.
Affiliations and expertise
Federal University of Minas Gerais, Belo Horizonte, BrazilRead Artificial Intelligence in Precision Health on ScienceDirect