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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

Diana Hawthorne

Abstract

Melanoma is the deadliest form of skin cancer that has only a 35% 5 year survival rate if it is found after it has metastasized. If it is found in early stages, the survival rate increases to approximately 94% 1. Early detection of malignant melanoma is crucial to give patient’s better outcomes and prevent invasive surgical procedures. Non-invasive imaging techniques do exist; however, the use of these techniques requires extensive training and are fallible to having inconsistent interpretations by practitioners. Artificial intelligence (AI) has become a rapidly progressing tool that has been utilized by the healthcare field in many ways already. This proposed article analyzes the utilization of AI in recognizing malignant melanomas early to prevent unnecessary procedures and improve patient outcomes.

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The Emerging Role of Artificial Intelligence in Recognizing and Diagnosing Melanoma Skin Cancer

Melanoma is the deadliest form of skin cancer that has only a 35% 5 year survival rate if it is found after it has metastasized. If it is found in early stages, the survival rate increases to approximately 94% 1. Early detection of malignant melanoma is crucial to give patient’s better outcomes and prevent invasive surgical procedures. Non-invasive imaging techniques do exist; however, the use of these techniques requires extensive training and are fallible to having inconsistent interpretations by practitioners. Artificial intelligence (AI) has become a rapidly progressing tool that has been utilized by the healthcare field in many ways already. This proposed article analyzes the utilization of AI in recognizing malignant melanomas early to prevent unnecessary procedures and improve patient outcomes.