Daniel Pinto dos Santos

To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)

Artificial intelligence (AI) has certainly made impressive progress over the past few years. Consequently, many companies have entered the market bombarding...

Daniel Pinto dos Santos

3 months ago

A decade of radiomics research: are images really data or just patterns in the noise?

Radiomics as a research topic in radiology is certainly a promising field. Over the last years, many publications have shown promising results, showing that...

Daniel Pinto dos Santos

7 months ago

AI abstracts from ECR 2019: analysis of topics and compliance with the STARD for abstracts checklist

New machine learning techniques, especially deep neural networks, hold the promise of revolutionizing many aspects of radiology and have gained immense public...

Daniel Pinto dos Santos

12 months ago

Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers and Readers

In recent years, we have seen a sharp increase in publications concerning machine learning and deep learning in radiology. Consequently, some journals report...

Daniel Pinto dos Santos

1 year ago

Keynote lecture at the EuSoMII Annual Meeting 2019: “How to Bring AI to the Clinic – Experience from UMC Utrecht”

In his outstanding keynote lecture at this year’s EuSoMII Annual Meeting, Tim Leiner issued a strong call to action. In order to bring artificial intelligence...

Daniel Pinto dos Santos

2 years ago

A look back at day two of the 2019 EuSoMII Annual Meeting

It was certainly a good choice to extend this year’s EuSoMII Annual Meeting to a two-day event. Imaging Informatics, with its many facets, is getting more and...

Daniel Pinto dos Santos

2 years ago

A look back at the EuSoMII Annual Meeting 2019

Two weeks ago, the European Society of Medical Imaging Informatics (EuSoMII) held its annual meeting in Valencia [1] – so it is just the right time to recap...

Daniel Pinto dos Santos

2 years ago

Lost track of follow-up recommendations? Maybe AI could help you

By now, everybody knows that AI-based systems achieve impressive results in image analysis. But a recent blog post asked the question of what the next true...

Daniel Pinto dos Santos

2 years ago

Why radiomics research does not translate to clinical practice: evaluation of literature using RQS and TRIPOD

Over the last few years, the number of studies published using quantitative imaging biomarkers to classify or predict pathologies has steadily increased. As...

Daniel Pinto dos Santos

2 years ago

What the radiologist should know about artificial intelligence – an ESR white paper

Did you ever get lost between all the buzz words floating around like artificial intelligence, imaging informatics, radiomics, imaging biobanks, neural...

Daniel Pinto dos Santos

2 years ago