AI in Clinical Practice

<p>Section 1: ARTIFICIAL INTELLIGENCE: "WHAT ARE WE TALKING ABOUT "<br>1. Glossary<br>2. What is meant by AI: knowing it in order to use it in the best way<br>3. How AI works: machine learning, deep learning, neural networks, black boxes<br>4. The limits of the algorithms, or the data is (not) "given"</p><p>Section 2: THE WORLD OF SENSORS<br>5. The datanami (tsunami of data): or when the data is perhaps too much<br>6. Wearable devices and the Internet of Things<br>7. The sentry watch</p><p>Section 3: DIGITAL INTELLIGENCE AND HEALTH<br>8. Diagnostics and decision-making systems: Applications in radiology, oncology, pathology, dermatology, ophthalmology, cardiology, gastroenterology, neurology, genetics, at the health system level<br>9. Applications in the psychological-psychiatric field<br>10. From personalized medicine to precision medicine<br>11. The search for new drugs and digital therapies<br>12. Virtual reality: great therapeutic potential and possible risks<br>13. Chance or Chaos14. The robotic assistance system<br>15. Digital medications/Therapy<br>16. Will "Amplifying technology" really expand our knowledge?<br>17. Diagnosis by images18. Machine Learning and Deep Learning<br>19. At the end of the journey…final reflections</p>