Sanjana Reddy

Papers

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About

Sanjana Reddy is a rising voice at the intersection of computational neuroscience and critical care neurology, with a focused expertise in applying artificial intelligence and machine learning to aneurysmal subarachnoid hemorrhage (SAH)—a devastating stroke subtype with mortality rates as high as 40%. Her seminal work, “Artificial Intelligence and Machine Learning in Aneurysmal Subarachnoid Hemorrhage: Future Promises, Perils, and Practicalities” (2023), has already garnered over 20 combined citations, signaling its rapid influence in the field. In this comprehensive review, Reddy systematically maps the landscape of AI-driven tools—from predictive models for delayed cerebral ischemia to automated imaging analysis—while candidly addressing the ethical and logistical pitfalls of clinical integration. Her major contribution lies in bridging the gap between algorithmic promise and bedside reality, offering a pragmatic roadmap for deploying machine learning in high-stakes neurocritical settings. By synthesizing technical feasibility with patient-centered outcomes, Reddy’s work serves as an essential primer for researchers and clinicians alike, positioning her as a key architect of the next generation of intelligent, data-driven stroke care.