Graduation Year

2025

Document Type

Senior Thesis

Degree

Bachelor of Science in Nursing

Primary Major

Nursing

Thesis Advisor

Kendra Hoepper, DNP, APRN, PNP- BC

Abstract

Background/ significance: Introduced in the late 20th century, robotic systems have enhanced surgeons’ capabilities by providing accurate and precise control of instruments. These systems helped minimize invasiveness in surgical procedures, providing greater precision, and gave flexibility to difficult-to-access areas of the body. Tools powered by AI help surgeons accurately identify and remove cancerous tissues, which can lead to better surgical outcomes and fewer complications. Purpose: The purpose of this study is to focus on evaluating how Robotic-Assisted Systems (RAS) and Artificial Intelligence (AI) impact surgical precision, patient recovery, and to address economic efficiencies. associated with integrating said systems into the standard surgical practice space, addressing concerns related to cost, accessibility, training, and long-term patient outcomes. Methods: Patients would be recruited from cooperating cancer treatment centers and hospitals, provided informed consent, and are assigned to cohorts based on their scheduled surgeries. Preoperative assessments included detailed medical history, physical examinations, imaging (MRI or CT scans), and baseline laboratory tests. Results: The study aims to identify and analyze significant differences in surgical precision, recovery times, and complication rates between robotic-assisted oncological surgery and traditional methods. Anticipated findings will inform the effectiveness and safety of robotic systems in improving surgical outcomes. Implications: The findings may highlight the potential benefits of robotic surgery in terms of precision and patient recovery, potentially leading to more widespread adoption of robotic systems in oncological surgery. Additionally, understanding the limitations and challenges of robotic surgery can guide future technological advancements and training programs, ultimately enhancing surgical outcomes and patient safety. These insights could also influence healthcare policies and resource allocation in surgical oncology.

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