Area of research
Radiology, Nuclear Medicine and Imaging · Otorhinolaryngology
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, Head and Neck Cancer Studies, Artificial Intelligence in Healthcare and Education, and Lung Cancer Diagnosis and Treatment.
Artificial Intelligence for Head and Neck Squamous Cell Carcinoma: From Diagnosis to Treatment
Applications of artificial intelligence and advanced imaging in pediatric diffuse midline glioma
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
Large language models to identify social determinants of health in electronic health records
The effect of using a large language model to respond to patient messages
Multimodal deep learning improves recurrence risk prediction in pediatric low-grade gliomas
Towards consistency in pediatric brain tumor measurements: Challenges, solutions, and the role of artificial intelligence-based segmentation
Using ChatGPT to evaluate cancer myths and misconceptions: artificial intelligence and cancer information
Timing and Motivations for Alternative Cancer Therapy With Insights From a Crowdfunding Platform: Cross-sectional Mixed Methods Study
Artificial intelligence for clinical oncology
Artificial intelligence in radiation oncology
Changes in Length and Complexity of Clinical Practice Guidelines in Oncology, 1996-2019