AI in Clinical Practice

Dr. Giampaolo Collecchia is General Practitioner, Internal Medicine Specialist. He is member of the Clinical Ethics Committee of the North West area of the Tuscany Region and member of the Center for Studies and Research in General Medicine (CSeRMEG). He carries out teaching activities at the University of Florence. He is teacher and tutor at the Specific Training Course in General Medicine of the Tuscany Region. Dr. Collecchia is author/co-author of articles and books on general medicine, cardiology and digital medicine. Dr. Riccardo De Gobbi previously worked as a professor and tutor at the school of specialization in Community Medicine at the University of Padua. From 2010 to 2014 he held the position of coordinator of seminar teaching (CD) in Padua of the Regional School of Specific Training in General Medicine. Currently, he works as private physician at Padua, Italy. He was co-author of some books and dozens of articles on the intersection of clinical practice and technology.

Section 1: ARTIFICIAL INTELLIGENCE: "WHAT ARE WE TALKING ABOUT " 1. Glossary 2. What is meant by AI: knowing it in order to use it in the best way 3. How AI works: machine learning, deep learning, neural networks, black boxes 4. The limits of the algorithms, or the data is (not) "given"

Section 2: THE WORLD OF SENSORS 5. The datanami (tsunami of data): or when the data is perhaps too much 6. Wearable devices and the Internet of Things 7. The sentry watch

Section 3: DIGITAL INTELLIGENCE AND HEALTH 8. Diagnostics and decision-making systems: Applications in radiology, oncology, pathology, dermatology, ophthalmology, cardiology, gastroenterology, neurology, genetics, at the health system level 9. Applications in the psychological-psychiatric field 10. From personalized medicine to precision medicine 11. The search for new drugs and digital therapies 12. Virtual reality: great therapeutic potential and possible risks 13. Chance or Chaos14. The robotic assistance system 15. Digital medications/Therapy 16. Will "Amplifying technology" really expand our knowledge? 17. Diagnosis by images18. Machine Learning and Deep Learning 19. At the end of the journey…final reflections