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Christopher Gange is an Assistant Professor in the Department of Radiology and Biomedical Imaging at Yale School of Medicine. He began his career as a diagnostic radiologist at Yale New Haven Hospital, where he focuses on cardiothoracic imaging. Gange is passionate about utilizing technology and medical knowledge to enhance diagnostic accuracy, particularly in cancer and lung disease detection. His recent research has centered on using artificial intelligence and machine learning to improve the efficiency and accuracy of reading chest X-rays and CT scans, especially during the COVID-19 pandemic. He has contributed to the creation of data registries for COVID patient imaging and has worked on validating new methods for performing portable chest X-rays safely. Gange finds it rewarding to be part of a field that significantly impacts early diagnosis and patient care. In addition to his role at Yale, he has a background in thoracic radiology, having completed his fellowship at Brigham and Women's Hospital and training at the University of Rochester.
Yale School of Medicine • New Haven, CT
Assistant Professor in the Department of Radiology and Biomedical Imaging focusing on cardiothoracic imaging.
GRE is optional for PhD applicants. TOEFL speaking scores below 26 or IELTS speaking below 7.5 may require summer English training.