Abstract
Artificial intelligence (AI) is poised to alter clinical practice and the ways in which physicians and hospital systems gain insights from complex multimodal patient data. The clinical neurosciences are beginning to see the impact of AI in the form of novel tools for the early detection and management of neurological conditions. This chapter will briefly introduce the analytical modalities and disease processes that are common areas of focus, detail ongoing areas of AI research targeting various stages of neurological and neurosurgical care, discuss existing applications in the clinical setting, and conclude with a word on specific technical hurdles that present a challenge for the widespread adoption of AI in the clinical setting.
Original language | English |
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Title of host publication | Artificial Intelligence in Medicine |
Subtitle of host publication | Technical Basis and Clinical Applications |
Publisher | Elsevier Applied Science |
Pages | 395-413 |
Number of pages | 19 |
ISBN (Electronic) | 9780128212592 |
ISBN (Print) | 9780128212585 |
DOIs | |
State | Published - 1 Jan 2020 |
Keywords
- Artificial intelligence
- biomedical informatics
- computer vision
- connectome mapping
- deep learning
- genomics
- machine learning
- neurology
- neuroscience