Artificial Intelligence in Biomedical Science
| Main Author: | Mitra, Manu |
|---|---|
| Format: | Article Journal |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3546064 |
Daftar Isi:
- Biomedical Sciences has very broad range and deals with various disciplines of medical research such as genetics epidemiology, clinical epidemiology, clinical virology, medical microbiology. It also includes science disciplines whose fundamental aspect is biology of human health and diseases. It is also aims on relevant sciences that includes but not limited to anatomy, cell biology, biochemistry, microbiology, genetics, molecular biology, immunology, mathematics, statistics and bioinformatics. Biomedical sciences have wider range of research, academic and economic significance than that defined by hospital laboratory sciences [1]. Artificial Intelligence (AI) in biomedical is usage of software and complex structure of algorithms to mirror human intelligence in the analysis of composite medical data. Specifically, Artificial Intelligence is the capability for computer algorithms to estimate results without direct human interaction [2]. Some key features interest include but not limited to clinical text mining, patient centric information retrieval, biomedical text evaluation, diagnostic assistance, clinical event forecasting, data-driven prognostics, precision medicine, human computation [3]. The model was able to automatically identify voicing patterns of people with vocal cord nodules (shown here) and, in turn, use those features to predict which people do and don’t have the disorder [4].