Stanford University
Showing 1-6 of 6 Results
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Kenneth Perrone
Instructor, Surgery - General Surgery
BioKenneth Perrone is a fellowship trained colon and rectal surgeon. His clinical practice covers a wide range of problems related to the colon, rectum, and anus. In addition to his clinical practice, conducts research in Technology Enabled Clinical Improvement center focused on quantifying physician performance using sensors.
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Calvin Perumalla
Postdoctoral Scholar, General Surgery
BioDr. Calvin Perumalla joined the Stanford's TECI Center team as a postdoctoral researcher in February 2021. He received his Masters and Doctorate degrees in Electrical Engineering from the University of South Florida. His graduate research work involved building a novel cardiac rhythm monitor with enhanced diagnostic capabilities. He was also involved in building machine learning models to detect cardiac abnormalities. Dr. Perumalla later spent two years working at a late-stage startup where he was involved in building AI models to detect anomalies in computer networks. He is passionate about using AI to improve the quality of human life and his current research interests include Computer Vision, Image Segmentation and Surgical Data Science.
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Hang T Pham
Research Specialist, Surgery - General Surgery
Current Role at StanfordStanford School of Medicine: Senior Research Scientist
Stanford Prevention Policy Modeling Lab: Affiliated Member (https://ppml.stanford.edu/people/hang-pham) -
George A. Poultsides, MD, MS
Professor of Surgery (General Surgery)
Current Research and Scholarly InterestsClinical trials of experimental diagnostics and therapeutics; outcomes analysis following combined modality treatment of hepatic, pancreatic, and gastrointestinal malignancies.
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Carla Pugh, MD, PhD
Thomas Krummel Professor
Current Research and Scholarly InterestsThe Technology Enabled Clinical Improvement (T.E.C.I.) Center is a multidisciplinary team of researchers dedicated to the design and implementation of advanced engineering technologies that facilitate data acquisition relating to clinical performance.
