Kirtan Patel
Papers
2
Total Citations
38
H-Index
2
About
Kirtan Patel is a researcher at the intersection of robotics, medical imaging, and artificial intelligence. His work focuses on developing autonomous systems that enhance clinical diagnostics, with key contributions in robotic ultrasound and machine learning for neuropsychology. In his highly cited 2022 paper, "Autonomous Ultrasound Scanning using Bayesian Optimization and Hybrid Force Control," Patel introduced a novel framework that eliminates the need for a trained human-in-the-loop during ultrasound procedures. By combining Bayesian optimization with hybrid force control, his system enables robots to autonomously acquire high-quality images, a breakthrough that promises to reduce radiologist workload and expand access to diagnostic imaging. This work has garnered 27 citations and is foundational for the growing field of autonomous medical robotics. In 2023, Patel co-authored a comprehensive review on machine learning algorithms for the detection and prediction of neuropsychological disorders, covering conditions like dementia, epilepsy, and brain cancer. This review, with 11 citations, synthesizes cutting-edge AI techniques to improve early diagnosis and patient outcomes. Patel’s research is notable for its translational impact, bridging engineering innovation with pressing clinical needs. His achievements position him as a rising leader in medical robotics and AI-driven healthcare.
Research Focus
Key Achievements
Top Papers
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