Several studies have shown how artificial intelligence plays an important role within healthcare that will continue to enhance over time by being able to early detect and diagnosis patients and reduce human error. Here we have reported many studies that have utilized different types of artificial intelligence techniques within a variety of professions as it relates to healthcare in the past and future. These studies utilized supervised, unsupervised, deep learning, and neural network machine learnings. They were able to provide the impact of a large database on decision making for physicians very quickly that results in a better patient experience in turn will decrease the cost annually. We show that this large database will continue to grow to provide more accurate results than humans. As artificial intelligence continues to enhance will provide physicians more time with patients rather than spending large amount of time analyzing data and completing patient charts.
Year Manuscript Completed
Senior Project Advisor
Dr. Tricia Jordan
Bachelor of Integrated Studies Degree
Field of Study
Thesis - Murray State Access only
Mohr, Tasha, "ENHANCEMENTS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE" (2021). Integrated Studies. 319.