Amit Gupta

Amit Gupta serves as an Associate Professor in the Department of Radiology at Case Western Reserve University School of Medicine. He is also a Member of the Cancer Imaging Program at the Case Comprehensive Cancer Center and holds the position of Clinical Director of Radiography at University Hospitals. His clinical and research work focuses on cardiothoracic imaging with particular expertise in lung cancer diagnostics and management.

Dr. Gupta's research interests span multiple areas within radiology and oncology, with special emphasis on dual-energy CT technology applications. His work explores lesion detection and characterization, therapy response evaluation in cancer, vascular assessment, radiation dose reduction, and intravenous contrast use optimization. More recently, he has been collaborating with the Department of Biomedical Engineering at CWRU to develop AI-based methodologies for lung cancer diagnosis, prognosis, and treatment response prediction.

His publication record demonstrates a strong focus on cancer imaging, particularly lung cancer applications. His recent work shows a clear trajectory toward integrating artificial intelligence with radiomics for improved cancer outcomes prediction. The publications reveal expertise across cardiothoracic imaging, cancer therapy monitoring, and advanced CT technologies with clinical applications.

Dr. Gupta is actively engaged in clinical research related to imaging for precision cancer therapies and monitoring treatment response. His collaborations with the Department of Biomedical Engineering highlight his commitment to interdisciplinary research that bridges clinical medicine with technological innovation. His role as Clinical Director of Radiography at University Hospitals indicates significant administrative responsibilities alongside his academic duties.

Dr. Gupta's laboratory and research team work closely with the Cancer Imaging Program at the Case Comprehensive Cancer Center, focusing on developing and validating imaging techniques for cancer diagnosis and treatment monitoring. His collaboration with the Department of Biomedical Engineering represents a strategic partnership to advance AI applications in radiology, particularly for lung cancer applications.