Papers
1
Total Citations
22
H-Index
1
About
Dr. Zhanli Hu is a leading researcher at the intersection of medical imaging and artificial intelligence, with a primary focus on developing noninvasive diagnostic tools for oncology. His most cited work, a 2023 study on deep learning for predicting epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer using PET/CT images, has already garnered 22 citations, highlighting its immediate impact. This research addresses a critical clinical need: enabling targeted therapy decisions without invasive biopsies. By integrating multimodal imaging data with advanced neural networks, Dr. Hu’s approach offers a low-cost, accurate method for mutation status prediction, potentially transforming personalized lung cancer treatment. His contributions extend to advancing computational methods for medical image analysis, bridging the gap between radiology and genomics. With a growing citation record and a focus on clinically translatable AI, Dr. Hu’s work is shaping the future of precision oncology, making him a key figure for students and researchers interested in the convergence of deep learning, nuclear medicine, and cancer care.
Research Focus
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Top Papers
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