Tag: AI

Simultaneous Segmentation and Classification of Pressure Injury Image Data Using Mask-R-CNN ActAgainstAmputation #DiabeticFoot @ALPSlimb @USC @USC_vascular @ResearchatUSC @KeckSchool_USC #AI #DeepLearning @TheNPIAP

This just published from our SALSA team led by Mark Swerdlow. We're already getting data requests on this one. Building on these models is what it's all about! Mark Swerdlow,1Ozgur Guler,2Raphael Yaakov,2and David G. Armstrong1 Background. Pressure injuries (PIs) impose a substantial burden on patients, caregivers, and healthcare systems, affecting an estimated 3 million Americans and... Continue Reading →

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Reliability of an AI-powered Application Across Different Mobile Devices for Assessment of Chronic Wounds ActAgainstAmputation #DiabeticFoot @ALPSlimb @USC @USC_vascular @ResearchatUSC @KeckSchool_USC

From our team led by super student Mark Swerdlow! Mark Swerdlow 1, Jessica Lo 2, David G Armstrong 3 Objective: Evaluate the inter- and intra-rater reliability of a wound assessment tool in iPhone 12 and 13 mini modalities against a validated iPad mini/Structure Sensor configuration. Approach: We assessed a wound measurement application (eKare inSight) for result consistency in patients presenting with wounds.... Continue Reading →

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Development of AI classification model for angiosome-wise interpretive substantiation of plantar feet thermal asymmetry in type 2 diabetic subjects using infrared thermograms #Thermography #ActAgainstAmputation #Diagnostic

From our colleagues in Chennai. Abstract Diabetic Foot Syndrome (DFS) is the prime impetus for most of the lower extremity complications among the diabetic subjects. DFS is characterized by aberrant variations in plantar foot temperature distribution while healthy subjects exhibit a symmetric thermal pattern between the contralateral and ipsilateral plantar feet. Thus, "asymmetry analysis" of... Continue Reading →

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Artificial Intelligence for Predicting and Diagnosing Complications of Diabetes

This from Hong and coworkers under the aegis of David Klonoff. We're pleased to have participated as well. Artificial intelligence can use real-world data to create models capable of making predictions and medical diagnosis for diabetes and its complications. The aim of this commentary article is to provide a general perspective and present recent advances... Continue Reading →

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A comprehensive review of methods based on deep learning for diabetes-related foot ulcers #AI #DeepLearning @ALPSlimb #ActAgainstAmputation #C2SHiP

Terrific work from Zhang and coworkers Background: Diabetes mellitus (DM) is a chronic disease with hyperglycemia. If not treated in time, it may lead to lower limb amputation. At the initial stage, the detection of diabetes-related foot ulcer (DFU) is very difficult. Deep learning has demonstrated state-of-the-art performance in various fields and has been used to... Continue Reading →

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A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images #ActAgainstAmputation

We are seeing and better approaches to assisting us in identifying subtle asymmetries and personalized discontinuities in thermometry. This work from our Qatari colleagues is just such an example. Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major... Continue Reading →

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Automated Detection of Infection in Diabetic Foot Ulcer Images #AI #DeepLearning #MachineLearning #C2SHiPUsing Convolutional Neural Network

More work supporting the ongoing efforts to create a deep learning/AI model to assist in diagnosis of diabetic foot ulcer/wound healing images J Yogapriya 1, Venkatesan Chandran 2, M G Sumithra 3, B Elakkiya 4, A Shamila Ebenezer 5, C Suresh Gnana Dhas 6 A bacterial or bone infection in the feet causes diabetic foot infection (DFI), which results in reddish skin in the wound and... Continue Reading →

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An explainable machine learning model for predicting in‐hospital amputation rate of patients with diabetic foot ulcer

Just published this past week by our collective Chongqing/Singapore/and local LA squad. Diabetic foot ulcer (DFU) is one of the most serious and alarming diabetic complications, which often leads to high amputation rates in diabetic patients. Machine learning is a part of the field of artificial intelligence, which can automatically learn models from data and... Continue Reading →

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Development of a prediction model for foot ulcer recurrence in people with diabetes using easy-to-obtain clinical variables #Remission #DiabeticFoot #UlcerFreeDays #Thermometry

Here is important work from our long-time Dutch friends and colleagues. Bottom line: there are now key factors that can be inputted into models to predict (and therefore reduce) risk for reulceration in patients in diabetic foot remission. This is the first multivariate model we've seen include use of personal thermometry. Wouter B Aan de... Continue Reading →

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