Yatika Gori

Papers

Total Citations

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About

Yatika Gori is a rising researcher at the intersection of artificial intelligence and healthcare, with a primary focus on deep learning applications in medical robotics. Her most-cited work, "Deep Learning in Medical Robotics for Parkinson's Disease Symptom Assessment" (2023), pioneers a novel framework for diagnosing and monitoring Parkinson's disease through robotic systems enhanced by deep neural networks. By employing an interpretivist philosophy and a deductive, descriptive methodology, Gori’s study demonstrates how AI-driven robotics can objectively assess motor symptoms, offering a transformative approach to neurological care. This work, with 2 citations to date, lays critical groundwork for non-invasive, continuous patient monitoring. Her contributions bridge the gap between advanced computational models and clinical practice, highlighting the potential for personalized, data-driven treatment strategies. Gori’s research is particularly notable for its interdisciplinary rigor, combining robotics engineering, machine learning, and medical science to address real-world challenges in neurodegenerative disease management. As an emerging scholar, her findings are already informing future studies on automated symptom tracking and robotic-assisted therapy, positioning her as a promising voice in the growing field of AI-powered healthcare innovation.