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Akhil Kondepudi on Muck Rack

Akhil Kondepudi

As seen in: Nature, PLOS ONE
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Articles

Health system learning enables generalist neuroimaging models

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By Akhil Kondepudi, Akshay Rao, Chenhui Zhao, Yiwei Lyu, Soumyanil Banerjee, Rushikesh K. Joshi, Anna-Katharina Meissner, Xinhai Hou, Cheng Jiang, Asadur Chowdury, Ashok Srinivasan, Brian Athey, Vikas Gulani, Aditya Pandey, Honglak Lee, Todd C Hollon, Samir Harake, Jacob Ogle
| Nature Verified
Abstract Frontier artificial intelligence (AI) models have advanced rapidly through training on internet-scale public data, yet such systems lack access to private clinical data. Neuroimaging is underrepresented in the public domain due to identifiable facial features within magnetic resonance imaging (MRI) and computed tomography (CT) scans, restricting model performance in clinical medicine.
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Learning neuroimaging models from health system-scale data - Nature Biomedical Engineering

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By Soumyanil Banerjee, Akhil Kondepudi, Cheng Jiang, Volker Neuschmelting, Brian Athey, Aditya Pandey, Rachel Gologorsky
| Nature Verified
Abstract Neuroimaging is a ubiquitous tool for evaluating patients with neurological diseases. The global demand for magnetic resonance imaging (MRI) studies has risen steadily, placing substantial strain on health systems, prolonging turnaround times and intensifying physician burnout. These challenges disproportionately impact patients in low-resource and rural settings.
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[2402.06188] A self-supervised framework for learning whole slide representations

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By Cheng Jiang, Akhil Kondepudi, Yiwei Lyu, Asadur Zaman
| arxiv.org
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See all 5 articles