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Poster Session 2, 11:30 AM - 12:15 PM: Campus Center Auditorium [A40]

Presenter: Viran Patel

Faculty Sponsor: Reena Randhir

School: Springfield Technical Community College

Research Area: Biology

ABSTRACT

Artificial intelligence (AI) is changing surgical practice by improving human capability through increased accuracy, efficiency, and patient outcomes. As a major innovation in recent times, the objective of this research is to explore the role of AI in operating rooms, with a focus on its uses in preoperative planning, intraoperative guidance, and postoperative decision-making. A systematic literature review was done in PubMed to study how it can improve surgical preparation, prevent operative errors, improve precision, and accelerate patient recovery. Research shows its promising use across multiple surgical specialties, including general surgery, thoracic surgery, vascular surgery, urology, neurosurgery, and orthopedic surgery. This review focused on studies showing improvements in surgical accuracy, shorter operative times, and reduced complication rates when AI-assisted technologies are used. Here, the machine learning algorithms and computer vision tools help surgeons analyze large amounts of clinical data or medical images quickly and accurately. Other examples include Robotic tools that filter hand tremor, improve dexterity, and may enable smaller incisions with fewer postoperative complications. It also helps  with diagnosis, helps to identify high-risk patients and to provide individualized surgical planning. But despite these benefits, implementing AI in surgery presents challenges, including the need for data standardization, ethical oversight, and regulatory approval. Hence, collaboration among surgeons, technicians and data scientists are essential for its safe integration into our clinical workflows. In conclusion AI is a powerful tool that will augment a surgeon's knowledge and expertise rather than replace it, supporting a new era of precision surgery and optimized patient care.