Garima Chopra

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About

Garima Chopra is a rising researcher at the forefront of surgical innovation, specializing in the integration of artificial intelligence and machine learning with robotic surgery. Her most-cited work, "Artificial intelligence and machine learning–assisted robotic surgery: Current trends and future scope" (2024), has already garnered 5 citations, signaling growing recognition of her contributions to this rapidly evolving field. In this seminal paper, Chopra provides a comprehensive analysis of how AI and ML algorithms are transforming robotic-assisted procedures—enhancing precision, enabling real-time decision-making, and personalizing surgical approaches. She critically evaluates current trends, from autonomous suturing to predictive analytics for intraoperative complications, while charting a roadmap for future developments, including adaptive learning systems and human-robot collaboration. Chopra’s work bridges the gap between computational science and clinical practice, offering both theoretical frameworks and practical insights that are shaping next-generation surgical tools. As a young scholar, her ability to synthesize complex technical concepts with real-world applications marks her as a promising voice in biomedical engineering. Her research not only advances the field but also inspires students and clinicians to explore the transformative potential of AI in medicine.