This study, which included a cohort of 145 patients affected by lipomatous soft tissue tumours, aimed to compare the performances of MRI radiomic machine...
The authors of this retrospective analysis looked at the role that radiomics played when applied to contrast-enhanced computed tomography (CT) in detecting...
The study aimed to implement and externally validate an MRI-based radiomics pipeline in order to predict the response to treatment of locally advanced rectal...
The authors of this systematic review explored the currently available literature on artificial intelligence (AI) and radiomics applied to molecular imaging...
Due to the enormous amount of imaging data that is becoming available, there is a wide range of possible improvements that can be provided by artificial...
Breast cancer continues to be the most commonly diagnosed cancer among women with over 2 million new cases per year worldwide. One important independent risk...
Due to the life-threatening nature of chronic pulmonary embolism (CPE) and how easily it can be misdiagnosed on computed tomography, the authors of this study...
The authors of this study used an artificial intelligence-based model in order to predict fragility fractures in postmenopausal women. Through a sample of 174...
In this study, the authors developed a fully automated artificial intelligence (AI)-based image analysis tool for segmenting skeletal muscle of the torso and...
The authors of this study aimed to determine the efficacy of a convolutional neural network (CNN) in final infarct volume prediction from computed tomography...
Welcome to the blog on Artificial Intelligence of the European Society of Radiology
This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.