Chengjuan Zhang

Papers

Total Citations

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About

Chengjuan Zhang is an emerging researcher at the intersection of artificial intelligence and medicine, with a focused expertise in applying machine learning and deep learning technologies to real-world healthcare challenges. Her work addresses some of the most pressing questions in modern medicine: how can AI be harnessed to improve diagnostic accuracy, streamline clinical workflows, and ultimately transform patient outcomes? Her most notable contribution, "AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications" (2025), has already garnered 4 citations within its first year, signaling strong early interest from the research community. The paper critically examines the shortcomings of conventional diagnostic methods while charting a path forward through AI-driven precision oncology. Her complementary work on AI in healthcare delivery systems (2024, 3 citations) broadens this vision, exploring how artificial intelligence is reshaping surgery, drug development, and the patient experience at a systemic level. Though early in her citation trajectory, Zhang's research reflects a timely and important scholarly voice. Students and clinicians alike will find her reviews valuable as accessible, comprehensive syntheses of rapidly evolving fields where AI promises to redefine the future of medicine.