Sarah Masud Preum

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About

Sarah Masud Preum is a leading researcher in the development of intelligent, human-centered AI systems, with a primary focus on healthcare cognitive assistants (HCAs). Her work defines a critical frontier in AI, creating context-aware agents that augment human cognitive abilities to improve health outcomes. Her most cited work, "A Review of Cognitive Assistants for Healthcare" (2021, 68 citations), provides a foundational taxonomy of the field, establishing the core principles for systems that assist users ranging from clinicians to patients. Demonstrating the practical application of her research, Preum also developed a pioneering Behavior Tree-based cognitive assistant for Emergency Medical Services (EMS) (2019, 15 citations). This system acts as a virtual co-responder, enhancing situational awareness for first responders by autonomously collecting and analyzing incident scene data. Through this work, Preum is not only advancing the theoretical underpinnings of cognitive systems but also engineering tangible solutions for high-stakes, real-world environments, positioning her as a key innovator in the future of AI-assisted healthcare and emergency response.