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About

Ling Zhong is a pioneering researcher at the intersection of surgical oncology and artificial intelligence, whose work bridges two seemingly disparate fields with remarkable impact. In breast cancer surgery, Zhong led a landmark 2022 study comparing minimal access breast surgery (MABS) to conventional approaches, demonstrating that MABS offers equivalent long-term oncologic outcomes—a finding with 50 citations that has reshaped surgical decision-making for patients and clinicians alike. This work addresses a critical gap in evidence, providing the first robust prognostic data supporting less invasive techniques. Simultaneously, Zhong has advanced computer vision through a 2018 deep learning framework for smart radar object recognition (22 citations), showcasing an ability to translate AI methodologies into practical sensing systems. This dual expertise—combining rigorous clinical trials with cutting-edge machine learning—positions Zhong as a uniquely versatile scholar. By improving both surgical standards and AI-driven perception, Zhong’s contributions have tangible implications for patient care and autonomous systems, earning recognition for innovation that spans medicine and engineering.