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About

David R. Holmes is a leading figure in the convergence of medical imaging, robotics, and therapeutic systems. His research centers on image-guided interventions, neurorehabilitation robotics, and intelligent intraoperative monitoring. Holmes has made significant contributions to the development of autonomous systems for real-time neuromonitoring, notably integrating robotic transcranial Doppler with artificial intelligence to detect cerebral emboli during high-risk procedures like transcatheter aortic valve replacement (TAVR). His 2019 review on therapeutic systems and technologies, which has garnered 36 citations, provides a comprehensive synthesis of advances in thermal therapy, ultrasound tomography, and ocular drug delivery, while also addressing critical regulatory and intellectual property challenges. Holmes has also shaped the field through his editorial work on the 2012 volume *Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling*, which has accumulated 19 citations. His recent pilot study (2023) on autonomous emboli detection using AI-enhanced robotic TCD represents a pioneering step toward reducing periprocedural stroke risk. With a portfolio that bridges engineering innovation and clinical translation, Holmes continues to drive safer, more precise interventions in interventional medicine and neurorehabilitation.