29 items with this tag.
The complete peer-reviewed record from a decade of cardiac modelling and medical image computing at Siemens Corporate Research and TUM - 65 works, ~1,300 citations, h-index 19-20. Patient-specific hea... Read More
This study implemented the Type Three (T3) challenge format in the STOIC2021 challenge, which allowed solutions to be trained on private data and ensured reusable training methodologies. The challenge... Read More
Cleerly, a digital health company, has developed AI-powered solutions, Cleerly Coronary and Cleerly Labs, to provide comprehensive, quantitative assessment of coronary artery disease (CAD) using non-i... Read More
The article discusses how medical software companies Digithurst and Telepaxx collaborated to build a secure, scalable, and cost-effective cloud solution for handling patient data, radiological scans, ... Read More
Icometrix, a healthcare technology company, utilizes artificial intelligence (AI) and machine learning (ML) to aid in detecting and treating neurological diseases like multiple sclerosis (MS) and Alzh... Read More
This blog post discusses how the healthcare technology company Ultivue is leveraging AWS services like Amazon S3, AWS Storage Gateway, and Amazon SageMaker to enable large-scale AI-based analysis of h... Read More
This blog post discusses how the healthcare technology startup contextflow leverages Amazon Web Services (AWS) to power its clinical decision support system, SEARCH Lung CT. The software helps radiolo... Read More
This white paper discusses the emerging field of generative AI and its applications in healthcare. It covers the history of AI/ML, the new era of generative AI enabled by foundation models (FMs) and l... Read More
++Area/Sports/Siemens Healthineers collaborated with AWS Partner Overon to host its medical imaging software syngo.via on AWS for customer HT Médica. This allowed HT Médica to connect multiple radiolo... Read More
Radboud University Medical Center (Radboudumc) announced the launch of Grand Challenge Connect (GCC) on Amazon Web Services (AWS), leveraging Amazon HealthLake Imaging. This platform aims to bridge th... Read More
The blog post describes how to use Amazon Rekognition Custom Labels to train a model that detects mitotic figures in whole slide images of canine mammary carcinoma. The key steps include- 1. Processi... Read More
This blog post provides a tutorial on how to deploy the open source OpenMRS Electronic Health Record (EHR) system on AWS. It covers setting up the necessary components on an EC2 instance, deploying Op... Read More
Planerio developed an AI-powered shift planning software for healthcare organizations, hosted on AWS, to address staff shortages and improve workforce management. The solution uses AWS services like A... Read More
This article discusses how cloud computing and AI are being used to develop fast, scalable diagnostic tools for COVID-19. Two companies, Smart Reporting in Germany and Thirona in the Netherlands, coll... Read More
This article describes how the Diagnostic Image Analysis Group (DIAG) at Radboud University Medical Center migrated their grand-challenge.org platform to AWS to enable global collaboration on machine ... Read More
The article discusses Razvan Ionasec (EMBA 2018), a computer scientist and Head of Artificial Intelligence Products at Siemens. His team developed an AI-based radiology assistant called AI-Rad Compani... Read More
Siemens Healthineers has received CE mark approval to market its AI-based AI-Rad Companion Chest CT software for radiology in Europe. This intelligent software can automatically evaluate CT images of ... Read More
The answer to the gap the 2012 finite-element paper left open. Patient-specific mitral valve modelling had been limited by the assumptions it had to make about constitutive material properties - so th... Read More
The coarctation work taken all the way to a complete clinical workflow, and the first time three different settings are investigated across multiple subjects — preoperative severity assessment, post-s... Read More
Transcatheter procedures give the operator no direct view of the anatomy, so intraoperative C-arm CT and fluoroscopy carry the guidance - with limited soft tissue quality, and a contrast agent require... Read More
This paper presents a machine learning approach to localize an ultrasound transducer in X-ray fluoroscopy images, which is important for image fusion between ultrasound and X-ray data during minimally... Read More
A review written for cardiothoracic surgeons rather than for the imaging community - the bridge paper that explains what computational mitral valve models are for, to the people who would use them in ... Read More
The clinical validation study — taking the automated 3D aortic root model into a cardiology journal and testing it against the measurements clinicians actually make. Automated modelling from 3D TEE an... Read More
This is the paper that answers the question every simulation result eventually has to face — how do you know the model is right? A CFD-based approach computes the pressure gradient across an aortic co... Read More
Finite-element models of mitral valve physiology had been proposed before, but translating them into the clinic was the hard part. This paper builds the integrated path — from temporal medical images ... Read More
Valvular heart disease rarely involves one valve in isolation, and it rarely gets treated that way. This paper extends patient-specific modelling from the left-heart valves to the complete valvular ap... Read More
The paper that closes the loop from image to anatomy to physics. A patient-specific model of the whole human heart that integrates morphology, dynamics and haemodynamic parameters at the organ level -... Read More
The doctoral thesis that frames the whole decade of work. Three aspects — physiological heart valve modelling, algorithms for patient-specific parameter estimation from multimodal images, and advanced... Read More
The first automatic system for patient-specific modelling and quantification of the left heart valves operating on both cardiac CT and transesophageal echocardiography. The paper introduces a physiolo... Read More
