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Informative Article | Public Health Education | South Africa | Volume 8 Issue 9, September 2019
A Review of Clinical Research Incorporating Artificial Intelligence Analyses
Sonya Reid | Vikram Niranjan
Abstract: Artificial Intelligence is increasingly being used in medical research and certain clinical practice areas. This article examines selected literature to identify common themes with an idea to understanding the impact, concerns and opportunities afforded by such technology. Such research is markedly different from established research methodologies and so is challenging to assess and evaluate. The complexity of the analytics and applied statistics makes it difficult for many to understand and yet conclusions drawn can have a significant impact on clinical practice and policy, funding and recording practices. The key themes identified are those of accuracy, population bias, database limitations, cost- and time-savings, and the ability to use artificial intelligence to predict future events or outcomes. In addition, certain dangers are highlighted and a few recommendations made.
Keywords: Artificial intelligence, Machine learning, Delivery of health care, Deep learning
Edition: Volume 8 Issue 9, September 2019,
Pages: 68 - 71
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Research Paper, Public Health Education, United States of America, Volume 8 Issue 11, November 2019
Pages: 1720 - 1725The Future of Tuberculosis Control using Precision Medicine Technology and Big Data Concepts
Sanjay Satya-Akunuri Koka | Rohith Suba Koka | Purushotham Rudraraju | Kiran Kumar [38]
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Research Paper, Public Health Education, India, Volume 8 Issue 9, September 2019
Pages: 443 - 445Innovations in Healthcare and their Impact on Global Healthcare Industry
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