Applications of Artificial Intelligence in Healthcare

Research output: Contribution to conferenceConference paper presented at Conference (not in Proceedings)


Artificial Intelligence has variety of applications in healthcare and medicine. It provides a sophisticated avenue for analyzing data, prediction of phenomena before their occurrence, grouping and classifying data, interpretation and inference, production of missing data, and many other applications focusing on healthcare needs. The outstanding feature of Artificial Intelligence or AI, is its ability to make accurate decisions without having to constrain the problem at hand to specific assumptions such as linearity which are the requirements of statistical analysis methods. Going into further details on assumption of linearity, since it is evident that there is no linear system in nature, making decisions based on linearity assumption of a big system would obviously result in loss of accuracy and reliability of the results. Furthermore, one of the main strengths of AI is its generalization ability which means making decisions about the cases which the AI system is not completely familiar with, in its past records. Considering the strength of AI and the need for concise decisions in healthcare, Artificial Intelligence is an essential area to be addressed in medical decision making. As an example of AI systems, prediction of diabetes is addressed on the data which is retrieved from John Hopkins university portal and the results show that AI decision making system has been able to identify and predict the occurrence of diabetes among the patients efficiently.
Original languageEnglish
Publication statusPublished - 2018
Externally publishedYes
Event2nd International Conference on
Advances in Biotechnology
- Kuala Lumpur , Malaysia
Duration: 23 Jul 201825 Jul 2018
Conference number: 2


Conference2nd International Conference on
Advances in Biotechnology
CityKuala Lumpur


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