Satyam Ghodasara, MD

I am Satyam Ghodasara, MD, assistant professor in the Department of Radiology at The Ohio State University College of Medicine. I specialize in artificial intelligence (AI) and informatics in medical imaging. My research focuses on how emerging technologies can make imaging faster, more accurate and more meaningful for patients.

I study how to rigorously evaluate AI tools before they are implemented in clinical practice, helping to ensure that new technologies improve care, support clinicians and sustain value over time. My work also includes large, multi-institutional collaborations using AI to improve detection and mapping of brain tumors on MRIs. My work also includes efforts to optimize imaging workflows for radiologists so that patients receive timely diagnoses and answers.

Across my research, I am particularly interested in bridging innovation and real-world applications to ensure that advances in AI are not only technically strong, but also practical, equitable and beneficial in everyday clinical settings. I use research methods including case studies, mixed-method research, qualitative observational approaches, quantitative analyses, surveys and real-world data studies to evaluate technological performance and its impact on patient care.

My contributions include co-developing a published framework for evaluating AI tools in radiology, helping healthcare systems determine which technologies meaningfully improve outcomes. I have also contributed to international collaborations in brain tumor imaging, including work supporting advances in tumor segmentation.

Ultimately, my goal is to help shape a future in which AI is seamlessly integrated into radiology to benefit patients.

Research interests

• Informatics
• AI
• Workflow Optimization