Indian American Professor Prateek Prasanna Receives NSF CAREER Award for Gaze-guided Medical Image Analysis
Indian American professor Prateek Prasanna from Stony Brook University has been awarded the U.S. National Science Foundation (NSF) CAREER Award for his innovative project focusing on using eye gaze data to improve model learning in medical image analysis.
Prasanna, an assistant professor in the Department of Biomedical Informatics, aims to merge human interpretation of medical images with artificial intelligence to enhance the accuracy and interpretability of machine learning systems in radiology and digital pathology.
Prasanna’s project, titled “CAREER: Towards Gaze-guided Medical Image Analysis,” aims to bridge the gap between human expertise and AI to improve healthcare outcomes. By studying how expert clinicians visually analyze medical images, particularly through their gaze patterns, Prasanna hopes to develop AI tools that can learn and reason like human experts. Leading the Imaging Informatics for Precision Medicine (IMAGINE) Lab at Stony Brook University, Prasanna and his team focus on creating machine learning tools that integrate imaging, pathology, and genomic data to inform treatment decisions. Their work also includes research in interpretable and explainable AI, with a focus on developing computational biomarkers in challenging data environments.
In addition to his research, Prasanna is dedicated to mentoring and educating future practitioners in radiology informatics. He leads initiatives such as the SBU Radiology Informatics Microcredential Program to train individuals in the field and facilitate collaboration between engineers and clinicians.
Prasanna’s impressive background includes a PhD in Biomedical Engineering from Case Western Reserve University, an MS in Electrical and Computer Engineering from Rutgers University, and a BTech in Electrical and Electronics Engineering from the National Institute of Technology in Calicut, India.
His research has earned him recognition and innovation awards for developing companion diagnostic tools for various medical imaging applications. Overall, Prasanna’s work showcases his commitment to advancing AI in medical image interpretation and improving patient care through innovative technology solutions.
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