Learning from the Real World: Designing AI systems for Traumatic Brain Injury Care

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Description:

Artificial intelligence is transforming health care, but real progress requires more than advanced algorithms. It requires a deep understanding of how clinicians think, diagnose and deliver care. In this session, Pranav Manjunath explores how integrating qualitative clinical insight with quantitative AI research leads to human-centered systems that strengthen clinical reasoning and decision-making.
 

Drawing from his work in traumatic brain injury care, Manjunath will outline practical challenges, emerging opportunities and core design principles for building trustworthy AI solutions that function effectively in real-world clinical environments.
 

About the Speaker:

Pranav Manjunath is a PhD candidate in biomedical engineering at Duke University, where he develops clinician-centric AI systems for traumatic brain injury care. He earned a Master of Science in data science from Duke University and a Bachelor of Science in computer science from PES University in India.
 

Advised by Dr. Timothy Dunn, his research centers on multimodal and explainable AI systems that incorporate real-world clinical evidence to enhance diagnostic reasoning and medical decision-making. His work has earned multiple Best Paper Awards at leading health machine learning conferences, including AIME and IEEE BHI.
 

Manjunath also serves as a visiting researcher at Carnegie Mellon University, collaborating with Dr. Adam Perer to design and evaluate interactive AI systems in health care. In addition to his research, he is a professional violinist who has performed in more than 700 concerts worldwide.
 

This session is part of the Spring 2026 Online AI Capstone Virtual Speaker Series, hosted by the Purdue University Online Capstone Experience.
 

For more information or to get involved, email POCapstone@purdue.edu or visit:
https://www.purdue.edu/online/artificial-intelligence/master-of-science-in-artificial-intelligence-msai-capstone-experience/