Daniel A. Orringer

NYU Langone Health, Guided Therapeutics (United States)

Papers

Total Citations

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About

Daniel A. Orringer is a pioneering neurosurgeon-scientist whose work sits at the intersection of advanced imaging, artificial intelligence, and surgical oncology. His primary research focuses on developing and translating novel optical imaging techniques—most notably stimulated Raman histology (SRH)—to enable real-time, label-free tissue analysis during surgery. Orringer’s major contribution is the integration of SRH with deep learning algorithms to create a near-instantaneous diagnostic pipeline that can interpret surgical margins with high accuracy, directly in the operating room. This work has the potential to transform how surgeons balance oncologic control with functional preservation, particularly in prostate cancer and brain tumor resections. His 2025 paper on SRH and AI for radical prostatectomy margins has already garnered 9 citations, signaling rapid interest from the surgical and pathology communities. Earlier foundational work on magnetic resonance image-guided neurosurgery (2013, 5 citations) laid the groundwork for his current innovations. Orringer’s research exemplifies how computational pathology and intraoperative imaging can close the gap between diagnosis and treatment, offering patients more precise, personalized surgical care.