Giridhar Dasegowda
Researcher
University of Arkansas for Medical Sciences
faculty
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Biography and Research Information
OverviewAI-generated summary
Giridhar Dasegowda's research investigates the application of artificial intelligence (AI) in clinical practice, with a particular focus on medical imaging. His work addresses the challenges associated with implementing AI tools, including the trustworthiness of AI models and their saliency methods. Dasegowda has published research on developing AI models for identifying suboptimal chest radiographs and reducing missed findings on these images. He has also explored the potential of advanced imaging techniques, such as photon counting computed tomography, to improve image quality and reduce artifacts. His publications include work on validating no-code machine learning approaches for medical use cases, like classifying clavicle fractures. Dasegowda has a scholarly record of 31 publications and 179 citations, with an h-index of 8.
Metrics
- h-index: 8
- Publications: 31
- Citations: 179
Selected Publications
- Generalizability of AI-based image segmentation and centering estimation algorithm: a multi-region, multi-center, and multi-scanner study (2025) DOI
- Abstract No. 294 Analysis of Non-Tunneled Central Venous Catheter Placement Trends Among Medicare Patients (2010-2022): Procedural Volume, Specialty Involvement, and Reimbursement Patterns (2024) DOI
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