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Date of Award
Spring 2025
Degree Name
Master of Medical Science (Physician Assistant)
Department
Physician Assistant; College of Health Sciences
First Advisor
Timo Besse MPAS, MAT
Abstract
Artificial Intelligence (AI) has the potential to become a transformative force in healthcare, reshaping diagnostics, treatment planning, and patient care. Originally coming about in the 1950s, today’s AI technologies have undergone remarkable evolution and can be of great benefit to the fields of radiologic imaging, predictive modeling, and EHR management. Much of these advancements currently dwell in trial phases, something that may change as healthcare organizations face rising patient loads and pressure to make providers more efficient. There are however several ethical considerations before large scale AI implementation. Issues surrounding data privacy, bias, and human workforce displacement must be confronted before this technology can be used on a large scale.
Recommended Citation
Williams, Ryan, "AI in Healthcare" (2025). Capstone Showcase. 19.
https://scholarworks.arcadia.edu/showcase/2025/pa/19
AI in Healthcare
Artificial Intelligence (AI) has the potential to become a transformative force in healthcare, reshaping diagnostics, treatment planning, and patient care. Originally coming about in the 1950s, today’s AI technologies have undergone remarkable evolution and can be of great benefit to the fields of radiologic imaging, predictive modeling, and EHR management. Much of these advancements currently dwell in trial phases, something that may change as healthcare organizations face rising patient loads and pressure to make providers more efficient. There are however several ethical considerations before large scale AI implementation. Issues surrounding data privacy, bias, and human workforce displacement must be confronted before this technology can be used on a large scale.