Molly Douglas

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About

Molly Douglas is a rising voice at the intersection of surgery and artificial intelligence, dedicated to demystifying how machine learning can be responsibly integrated into clinical practice. Her most-cited work, "Interpretation and Use of Applied/Operational Machine Learning and Artificial Intelligence in Surgery" (2023), has already garnered 21 citations, reflecting the field’s urgent need for clear, actionable guidance. In this paper, Douglas provides a critical framework for surgeons and researchers to evaluate AI tools not just for accuracy, but for operational feasibility and ethical deployment in real-world operating rooms. Her contributions bridge the gap between technical AI development and surgical decision-making, emphasizing interpretability and safety over black-box solutions. By focusing on applied, rather than theoretical, AI, Douglas helps ensure that emerging technologies serve patients and clinicians alike. Her work is particularly notable for its practical orientation—offering checklists and scenarios that demystify complex algorithms for non-computer scientists. As AI becomes increasingly embedded in healthcare, Molly Douglas stands out as a translator and advocate for evidence-based, human-centered surgical innovation.