Machine Learning Decision Support for Detecting Lipohypertrophy With Bedside Ultrasound: Proof-of-Concept Study

Machine Learning Decision Support for Detecting Lipohypertrophy With Bedside Ultrasound: Proof-of-Concept Study

BackgroundThe most common dermatological complication of insulin therapy is lipohypertrophy. ObjectiveAs a proof of concept, we built and tested an automated model using a convolutional neural network (CNN) to detect the presence of lipohypertrophy in ultrasound i...

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Bibliographic Details
Main Authors: Ela Bandari, Tomas Beuzen, Lara Habashy, Javairia Raza, Xudong Yang, Jordanna Kapeluto, Graydon Meneilly, Kenneth Madden
Format: Article
Language:English
Published: JMIR Publications 2022-05-01
Series:JMIR Formative Research
Online Access:https://formative.jmir.org/2022/5/e34830

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https://formative.jmir.org/2022/5/e34830

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