Tag: deep learning

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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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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ACTNet: asymmetric convolutional transformer network for diabetic foot ulcers classification #DeepLearning #DiabeticFoot

More deep learning models for the diabetic foot- this time in image analysis by Ai, Yang and Xi. Most existing image classification methods have achieved significant progress in the field of natural images. However, in the field of diabetic foot ulcer (DFU) where data is scarce and complex, the accurate classification of data is still... Continue Reading →

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Identifying patterns in multiple biomarkers to diagnose diabetic foot using an explainable genetic programming-based approach #ExplainableAI #MachineLearning #DiabeticFoot

An intriguing contribution from D'Angelo and coworkers. Diabetes mellitus is a global health problem, recognized as the seventh cause of death in the world. One of the most debilitating complications of diabetes mellitus is the diabetic foot (DF), resulting in an increased risk of hospitalization and significant morbidity and mortality. Amputation above or below the... 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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Individualised risk prediction for improved chronic wound management @USC_Vascular @ResearchatUSC @ALPSlimb #AI #DeepLearning #WoundHealing

This manuscript from our combined team led by Vladica Velickovic exploring deep learning models to improve our diagnostic and therapeutic methods to measure what we manage. Significance Chronic wounds are associated with significant morbidity, marked loss of quality of life and considerable economic burden. Evidence-based risk prediction to guide improved wound prevention and treatment is... 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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Classification of Diabetic Foot Ulcers Using Class Knowledge Banks #ArtificialIntelligence #DeepLearning #DiabeticFoot #C2SHiP

Intriguing work from Xu and coworkers showing a continued march toward improvement in AI Models. As the input improves, output will follow! Abstract Diabetic foot ulcers (DFUs) are one of the most common complications of diabetes. Identifying the presence of infection and ischemia in DFU is important for ulcer examination and treatment planning. Recently, the... Continue Reading →

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