Abstract
The general concepts of deep learning, machine learning, and artificial intelligence (AI) are presented in this chapter, and the most representative techniques are briefly discussed. The chapter focuses on the technical details of AI and presents the performance obtained compared to human graders in retinal disease classification. Additionally, the different learning techniques, the main methods, and how these techniques are invaluable tools to support clinical decision-making are discussed.
| Translated title of the contribution | Lo que hay que saber sobre la Inteligencia Artificial: Introducción técnica |
|---|---|
| Original language | English (US) |
| Title of host publication | Artificial Intelligence and Ophthalmology |
| Publisher | Springer |
| Chapter | 1 |
| Pages | 13-25 |
| Number of pages | 13 |
| ISBN (Electronic) | 978-981-16-0634-2 |
| ISBN (Print) | 978-981-16-0633-5 |
| DOIs | |
| State | Published - Apr 23 2021 |
Publication series
| Name | Current Practices in Ophthalmology |
|---|---|
| ISSN (Print) | 2523-3807 |
| ISSN (Electronic) | 2523-3815 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
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