deep learning

Data control with AI: who’s in charge?

With the increased use of artificial intelligence (AI) in every segment of life including healthcare, patient data is being collected massively and shared by...

Melisande Rouger

11 months ago

Artificial intelligence in abdominal imaging at the 30th annual meeting of ESGAR 2019 in Rome, Italy

This week, the European Society of Gastrointestinal and Abdominal Radiology (ESGAR) will head to Rome, Italy, where they will host the ESGAR 2019 30th Annual...

ESR

12 months ago

Taking artificial intelligence out of the black box: An “interpretable” deep learning system for liver tumour diagnosis

Convolutional neural networks (CNN) have demonstrated the potential to become effective and accurate decision support tools for radiologists. A major barrier...

European Radiology

1 year ago

Radiomics: a critical step towards integrated healthcare

This article aims to bring together the various technological developments that have taken place in medical imaging analysis and highlight a potential path...

Zuhir Bodalal

1 year ago

Artificial Intelligence is coming to Barcelona

Following the excitement of ECR 2019, there is less than one month until ESOR’s premium event: Intelligence. Innovation. Imaging. The Perfect Vision of AI,...

ESR

1 year ago

Should AI be seen as a threat or an opportunity in medical imaging?

The aim of this narrative review is to take a broader look at the application of Artificial Intelligence (AI), primarily in medical imaging. The authors...

European Radiology Experimental

1 year ago

Can liver fibrosis be staged by deep learning techniques?

This pilot study aims to investigate whether liver fibrosis can be staged by deep learning techniques based on CT images. It included CT examinations of...

European Radiology

1 year ago

The Role of AI in Breast Imaging: Innovative Technology for Early-Stage Breast Cancer Detection [Advertorial]

Artificial intelligence (AI) is revolutionizing the healthcare industry, with potential to make dramatic improvements in clinical care and provider...

ECR 2019 AIX

1 year ago

Using AI tools to create a more efficient workflow

Equipped with a strong team of machine learning engineers and medical experts from prestigious hospitals, BioMind™ envisions to scale healthcare specialist...

ECR 2019 AIX

1 year ago

Convolutional neural networks: an overview and application in radiology

Numerous domains, including radiology, have shown interest in convolutional neural network (CNN) – a class of artificial neural networks that has become...

Insights into Imaging

1 year ago  - 5 minutes read