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About Savadjiev2018 Article DemystificationOfAI-drivenMedi
This document provides an overview of the history of artificial intelligence (AI) methods for radiological image analysis. It discusses both classical and more recent deep learning techniques. Classical methods included expert systems that performed logical inference based on human-derived rules applied to simple image processing operations. Probabilistic methods modeled anatomical structures and lesions by matching images to statistical atlases constructed from labeled reference datasets. More recent deep learning techniques can learn complex patterns directly from large amounts of medical image data without relying on human-defined features or rules. The document emphasizes that while AI may augment radiology, it is unlikely to replace human expertise, and that evaluating AI systems requires considering both technical performance and clinical impact.
Detailed Information
| Author: | ['Anna Lee'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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