Tamara Preda

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About

Dr. Tamara Preda is a pioneering researcher at the intersection of artificial intelligence and surgical education, with a primary focus on advancing objective, data-driven methods for evaluating minimally invasive surgical (MIS) skills. Her most cited work, a 2024 narrative review published in a leading surgical journal, critically examines the reliability of AI-based assessment systems, highlighting the crucial role of standardised objective metrics (SOMs) in reducing heterogeneity across studies. This contribution has already garnered 7 citations, underscoring its timely impact on a rapidly evolving field. Dr. Preda’s research addresses a fundamental challenge in surgical training: the need for consistent, unbiased, and automated evaluation of technical proficiency. By advocating for SOMs as the foundation for AI-driven assessment, she is helping to shape the next generation of surgical skill validation tools, with potential implications for certification, credentialing, and patient safety. Her work bridges clinical practice and computational science, offering a roadmap for integrating machine learning into surgical education. Dr. Preda’s insights are particularly valuable for researchers and trainees seeking to understand how AI can transform the objective measurement of complex procedural skills.