Sipe, Adam Institution Verified

Sourced from institutional research profiles (UAMS TRI or ARA).

UAMS Contingent Worker

University of Arkansas for Medical Sciences

grad_student

Radiology, College of Medicine

Research Areas

Radiomics and Machine Learning in Medical Imaging AI in cancer detection Cancer Genomics and Diagnostics Medical Imaging Techniques and Applications

Links

Lab Website UAMS TRI Profile

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OverviewAI-generated summary

Adam Sipe's research focuses on the application of artificial intelligence and machine learning within medical imaging. His work involves developing and validating radiomic models to improve the diagnosis and characterization of various cancers. He has published research on the use of these techniques in predicting tumor response to therapy and in identifying imaging biomarkers for cancer subtypes. His investigations aim to enhance diagnostic accuracy and treatment planning in radiology.

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