Big data and artificial intelligence in healthcare: Ethical and social implications of neonatology
- Publisher:
- IEEE
- Publication Type:
- Conference Proceeding
- Citation:
- International Symposium on Technology and Society, Proceedings, 2021, 2021-October, pp. 1-1
- Issue Date:
- 2021-01-01
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| A_Reliable_and_Lightweight_Trust_Inference_Model_for_Service_Recommendation_in_SIoT.pdf | Published version | 2.56 MB |
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High-speed physiological data are proving to be one of the most untapped resources in healthcare today. Many medical devices produce data streams at frequencies of a reading a second or faster making the effective use of that data a Big Data challenge. A growing body of research studies are demonstrating common physiological patterns for a range of medical conditions at earlier stages in the condition progression paving the way for new artificial intelligence and machine learning based approaches that could also be more reliable. There is great potential for real-time assessment of this physiological data to improve patient outcomes and to do so on an individualized personalized level. Systemic use of Big Data and AI in Healthcare present many ethics and social implications. This keynote will demonstrate how Big Data and AI can be used systemically for new approaches in research and clinical care for differential diagnosis and condition management. Ethical and social implications will be considered within the context of the application of these approaches in neonatology.
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