Section 1: Artificial Intelligence Technologies1. Interpretable Artificial Intelligence: Addressing the Adoption Gap in Medicine2. Artificial Intelligence methods in computer-aided diagnostic tools and decision support analytics for clinical informatics3. Deep learning in Precision Medicine4. Machine learning systems and precision medicine: a conceptual and experimental approach to single individual statistics5. Machine learning in digital health, recent trends and on-going challenges6. Data Mining to Transform Clinical and Translational Research Findings into Precision Health
Section II: Applications and Precision Systems/Application of Artificial Intelligence7. Predictive Models in Precision Medicine8. Deep Neural Networks for Phenotype Prediction: Application to rare diseases9. Artificial Intelligence in the management of patients with intracranial neoplasms10. Artificial Intelligence to aid the early detection of Mental Illness11. Use of Artificial Intelligence in Alzheimer Disease Detection12. Artificial Intelligence to predict atheroma plaque vulnerability13. Decision support systems in cardiovascular medicine through artificial intelligence: applications in the diagnosis of infarction and prognosis of heart failure14. Artificial Intelligence for Decision Support Systems in Diabetes15. Clinical decision support systems to improve the diagnosis and management of respiratory diseases16. Use of Artificial Intelligence in Neurosurgery and Otorhinolaryngology (Head and Neck Surgery)17. Use of Artificial Intelligence in Emergency Medicine18. Use of Artificial Intelligence in Infectious diseases19. Artificial Intelligence techniques applied to patient care and monitoring20. Use of artificial intelligence in precision nutrition and fitness
Section III: Precision Systems21. Artificial Intelligence in Precision health: Systems in practice