Artificial Intelligence in Medicine: Today and Tomorrow
Université Libre de Bruxelles · Erasmus Hospital
Abstract
Artificial intelligence-powered medical technologies are rapidly evolving into applicable solutions for clinical practice. Deep learning algorithms can deal with increasing amounts of data provided by wearables, smartphones, and other mobile monitoring sensors in different areas of medicine. Currently, only very specific settings in clinical practice benefit from the application of artificial intelligence, such as the detection of atrial fibrillation, epilepsy seizures, and hypoglycemia, or the diagnosis of disease based on histopathological examination or medical imaging. The implementation of augmented medicine is long-awaited by patients because it allows for a greater autonomy and a more personalized…
Citation impact
- FWCI
- 19.70
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- 100%
- References
- 55
Authors
2Topics & keywords
- Clinical Practice
- Curriculum
- Autonomy
- Bioethics
- Health care
- Medicine
- Engineering ethics
- Medical education