Simple Searches
- Database: AccessMedicine
- Keyword: artificial
- Results: 2,618
- Potential Article: Artificial Intelligence and Cardiovascular Care
- Rumsfeld J.S., & Mortazavi B.J., & Krumholz H.M. (2022). Artificial intelligence and cardiovascular care. Fuster V, & Narula J, & Vaishnava P, & Leon M.B., & Callans D.J., & Rumsfeld J, & Poppas A(Eds.), Fuster and Hurst’s The Heart, 15e. McGraw Hill. https://accessmedicine-mhmedical-com.ezproxy.fhsu.edu/content.aspx?bookid=3134§ionid=264102768
- Keyword: intelligence
- Results: 693
- Potential Article: Predictive Modeling 3.0: Machine Learning > A BRIEF HISTORY OF ARTIFICIAL INTELLIGENCE
- Howell M.D., & Stevens J.P.(Eds.), (2020). Understanding Healthcare Delivery Science. McGraw Hill. https://accessmedicine-mhmedical-com.ezproxy.fhsu.edu/content.aspx?bookid=2736§ionid=228655706
- Keyword: automated
- Results: 834
- Potential Article: Laboratory Diagnosis of Infectious Diseases > BIOCHEMICAL PHENOTYPING
- Brigl M, & J. McAdam A (2022). Laboratory diagnosis of infectious diseases. Loscalzo J, & Fauci A, & Kasper D, & Hauser S, & Longo D, & Jameson J(Eds.), Harrison’s Principles of Internal Medicine 21e. McGraw Hill. https://accessmedicine-mhmedical-com.ezproxy.fhsu.edu/content.aspx?bookid=3095§ionid=265477006
- Keyword: artificial
- Database: Applied Science & Technology
- Keyword: healthcare
- Results: 11,959
- Potential Article: iKardo: An Intelligent ECG Device for Automatic Critical Beat Identification for Smart Healthcare.
- Maji, P., Mondal, H. K., Roy, A. P., Poddar, S., & Mohanty, S. P. (2021). iKardo: An Intelligent ECG Device for Automatic Critical Beat Identification for Smart Healthcare. IEEE Transactions on Consumer Electronics, 67(4), 235–243. https://doi-org.ezproxy.fhsu.edu/10.1109/TCE.2021.3129316
- Keyword: artificial
- Results: 82,926
- Potential Article: Shrinking Artificial Intelligence: Energy concerns push AI optimizations to the edge.
- Edwards, C. (2022). Shrinking Artificial Intelligence: Energy concerns push AI optimizations to the edge. Communications of the ACM, 65(1), 12–14. https://doi-org.ezproxy.fhsu.edu/10.1145/3495562
- Keyword: intelligence
- Results: 32,782
- Potential Article: Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health.
- De Choudhury, M., & Kiciman, E. (2018). Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health. AI Magazine, 39(3), 69–80. https://doi-org.ezproxy.fhsu.edu/10.1609/aimag.v39i3.2815
- Keyword: healthcare
Annotation:
Article: van der Schaar, M., Alaa, A. M., Floto, A., Gimson, A., Scholtes, S., Wood, A., McKinney, E., Jarrett, D., Lio, P., & Ercole, A. (2021). How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. Machine Learning, 110(1), 1–14. https://doi-org.ezproxy.fhsu.edu/10.1007/s10994-020-05928-x
This article explains how artificial intelligence can help us save lives and combat COVID-19 in a more effective way. It explains how it can improve the disbursement of scarce resources, improve decision making, ensuring the treatment is approrpiate for each patient, etc. It also explains the practical challenges that come into play. If a large amount of issues that are faced in healthcare could be solved with the help of artificial intelligence it is important that we implement these things on a national scale.