The radiology AI handbook /
Artificial intelligence has the potential to transform many areas of medicine and is already a growing factor in the field of radiology. The Radiology AI Handbook offers the information you need in order to better understand AI and how to incorporate it into your daily practice. Written by clinical...
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| Other Authors: | , , , , |
| Format: | eBook |
| Language: | English |
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Philadelphia, PA :
Elsevier,
[2026]
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- AI in radiology--past and present
- AI in radiology--future
- Technical principles
- Interpretive applications of artificial intelligence in breast radiology
- Artificial intelligence in cardiovascular imaging
- Artificial intelligence in gastrointestinal imaging
- Artificial intelligence in head and neck radiology: current innovations, challenges, and future directions
- Interpretive applications: musculoskeletal - Neuroradiology
- Interpretive applications of artificial intelligence in interventional radiology
- Artificial intelligence in nuclear radiology: unlocking the potential for enhanced patient
- Patient facing noninterpretive artificial intelligence applications
- Navigating the radiologic technologist's landscape: current innovations and future directions of artificial intelligence in radiology
- Business-facing approaches
- Non-interpretive application of artificial intelligence in radiology: population health
- Data curation
- Artificial intelligence network training and validation in radiology: recent developments and real-world examples
- Regulatory considerations for radiology artificial intelligence/machine learning devices
- Response to COVID with artificial intelligence-assisted radiologic diagnosis
- Arterys artificial intelligence: inception, development, growth
- Viz.ai--pioneering artificial intelligence in healthcare