معرفی
Christopher Gange is an Assistant Professor of Radiology & Biomedical Imaging at Yale University, affiliated with the Yale School of Medicine. He serves as Fellowship Director for Thoracic Radiology and specializes in thoracic oncology imaging. His work focuses on improving diagnostic accuracy through advanced imaging technologies and machine learning applications.
Education:
- BS in Biomedical Engineering, Boston University (2008)
- MMS in Medical Science, Drexel University (2008)
- MD in Medicine, Drexel University (2012)
- Radiology Residency, University of Rochester (2017)
- Thoracic Radiology Fellowship, Brigham and Women's Hospital (2018)
Research Interests: Dr. Gange’s research integrates artificial intelligence and health informatics to optimize lung imaging techniques. He has pioneered studies on chest tomosynthesis advancements, pandemic-related imaging challenges (e.g., COVID-19), and incidental findings in lung cancer screening.
Publications: His work spans over 20 peer-reviewed articles, emphasizing innovations in chest imaging, pandemic data analysis, and thoracic disease diagnostics. Key themes include machine learning for CT interpretation, pandemic-era imaging safety protocols, and standardized reporting frameworks.
Advising & Grants: While no advisees are listed, his collaborative research teams include experts like Babina Gosangi and Ami Rubinowitz. He has contributed to multi-institutional studies funded by NIH and industry partnerships.
Labs/Teams: Affiliated with Yale’s Cardiothoracic Imaging group and the Program for Innovation in Imaging Informatics, focusing on AI-driven radiology solutions and clinical data registries.