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Back to main AI Blog

natural language processing

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.

Most used hashtags:

deep learningmachine learningmriradiomicsx-ray computed tomographyinterviewai newsmammographyCOVID-19neural networksbreast cancerdiagnostic imagingtomographyworkflowdiagnosisMDCT

Latest posts

AI-assisted double reading system able to identify missed findings on chest radiographs following repot authorization

Laurens Topff November 2024

Our study evaluated an AI-assisted double reading system for chest radiographs in two different hospital settings. The system analysed both the radiograph and the corresponding radiologist’s report to detect potential missed findings. Among 25,104 chest radiographs, clinically relevant missed findings were confirmed in 0.1% of cases, primarily consisting of unreported lung nodules, pneumothoraces, and consolidations. What makes this approach interesting

Read More →

Unleashing the power of data in radiology: A look ahead

Matthias Fink April 2024

Peering into the future of radiology, we find ourselves at an exciting crossroads. The past year has seen language-based foundation models disrupt the status quo, offering a tantalising glimpse into new possibilities for data accessibility. Yet we still face a huge challenge: a wealth of valuable data remains locked away in free-text reports. But what if we could unlock this

Read More →

ChatGPT makes medicine easy to swallow

Katharina Jeblick December 2023

Just over a year ago, the release of ChatGPT marked a turning point in AI and language processing, sparking widespread excitement for Large Language Models (LLMs) for diverse use cases across various domains. Back then, we noticed friends using ChatGPT for medical text simplification, yet, as medical laypersons, they couldn’t verify the accuracy of the simplified text. Anticipating its imminent adoption by patients,

Read More →

Structured reporting using an intelligent dialogue system based on speech recognition and NLP

Insights into Imaging July 2023

Although structured reporting (SR) is recommended in the field of radiology compared to free-text reporting (FTR), the use of SR still experiences obstacles due to insufficient integration of speech recognition. Furthermore, SR templates are time-consuming as they have to be completed using a traditional mouse and keyboard. New technologies within the realm of artificial intelligence, such as natural language processing

Read More →

Automated vetting of radiology referrals: exploring NLP and ML approaches

Insights into Imaging May 2023

As computed tomography (CT) sees an increase in utilization, inappropriate imaging has been seen as a significant concern; however, manual justification audits of radiology referrals are extremely time-consuming and carry a heavy financial burden. Therefore, the authors of this study aimed to retrospectively audit the justification of brain CT referrals by using natural language processing (NLP) and traditional machine learning

Read More →

Deep learning to convert unstructured CT pulmonary angiography reports into structured reports

John Nance October 2019

We believe that the possibilities for artificial intelligence (AI) over the coming years will be limited only by our imagination. While there is a tremendous amount of warranted excitement for disease detection, characterization, and quantification with AI algorithms, less rousing but still valuable efforts can and should be made to improve operational efficiency and even reduce the growing problem of

Read More →

Looking outside the box: AI learns to play chess through language, the NHS invests in AI, and tools for sign language recognition

ESR August 2019

This week in artificial intelligence (AI) news, we take a look at a programme that learns chess through listening to real match commentary, the UK’s National Health Service (NHS) making big investments in AI, and the development of AI tools for reading sign language. Researchers at University College London have proposed a new algorithm, which allows the programme to learn

Read More →

AI-assisted double reading system able to identify missed findings on chest radiographs following repot authorization

Laurens Topff November 2024

Our study evaluated an AI-assisted double reading system for chest radiographs in two different hospital settings. The system analysed both the radiograph and the corresponding radiologist’s report to detect potential missed findings. Among 25,104 chest radiographs, clinically relevant missed findings were confirmed in 0.1% of cases, primarily consisting of unreported lung nodules, pneumothoraces, and consolidations. What makes this approach interesting

Read More →

Unleashing the power of data in radiology: A look ahead

Matthias Fink April 2024

Peering into the future of radiology, we find ourselves at an exciting crossroads. The past year has seen language-based foundation models disrupt the status quo, offering a tantalising glimpse into new possibilities for data accessibility. Yet we still face a huge challenge: a wealth of valuable data remains locked away in free-text reports. But what if we could unlock this

Read More →

ChatGPT makes medicine easy to swallow

Katharina Jeblick, Balthasar Schachtner December 2023

Just over a year ago, the release of ChatGPT marked a turning point in AI and language processing, sparking widespread excitement for Large Language Models (LLMs) for diverse use cases across various domains. Back then, we noticed friends using ChatGPT for medical text simplification, yet, as medical laypersons, they couldn’t verify the accuracy of the simplified text. Anticipating its imminent adoption by patients,

Read More →

Structured reporting using an intelligent dialogue system based on speech recognition and NLP

Insights into Imaging July 2023

Although structured reporting (SR) is recommended in the field of radiology compared to free-text reporting (FTR), the use of SR still experiences obstacles due to insufficient integration of speech recognition. Furthermore, SR templates are time-consuming as they have to be completed using a traditional mouse and keyboard. New technologies within the realm of artificial intelligence, such as natural language processing

Read More →

Automated vetting of radiology referrals: exploring NLP and ML approaches

Insights into Imaging May 2023

As computed tomography (CT) sees an increase in utilization, inappropriate imaging has been seen as a significant concern; however, manual justification audits of radiology referrals are extremely time-consuming and carry a heavy financial burden. Therefore, the authors of this study aimed to retrospectively audit the justification of brain CT referrals by using natural language processing (NLP) and traditional machine learning

Read More →

Deep learning to convert unstructured CT pulmonary angiography reports into structured reports

John Nance October 2019

We believe that the possibilities for artificial intelligence (AI) over the coming years will be limited only by our imagination. While there is a tremendous amount of warranted excitement for disease detection, characterization, and quantification with AI algorithms, less rousing but still valuable efforts can and should be made to improve operational efficiency and even reduce the growing problem of

Read More →

Looking outside the box: AI learns to play chess through language, the NHS invests in AI, and tools for sign language recognition

ESR August 2019

This week in artificial intelligence (AI) news, we take a look at a programme that learns chess through listening to real match commentary, the UK’s National Health Service (NHS) making big investments in AI, and the development of AI tools for reading sign language. Researchers at University College London have proposed a new algorithm, which allows the programme to learn

Read More →

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Check out our different membership options.

If you don’t find a fitting membership send us an email here.

①

Membership

for radiologists, radiology residents, professionals of allied sciences (including radiographers/radiological technologists, nuclear medicine physicians, medical physicists, and data scientists) & professionals of allied sciences in training residing within the boundaries of Europe

  • Reduced registration fees for ECR 1
  • Reduced fees for the European School of Radiology (ESOR) 2
  • Option to participate in the European Diploma. 3
  • Free electronic access to the journal European Radiology 
  • Content e-mails for all ESR journals4
  • Updates on offers & events through our newsletters
  • Exclusive access to the ESR feed in Juisci

€ 11 /year

Yes! That is less than €1 per month.
②

Free membership

for radiologists, radiology residents or professionals of allied sciences engaged in practice, teaching or research residing outside Europe as well as individual qualified professionals with an interest in radiology and medical imaging who do not fulfil individual or all requirements for any other ESR membership category & former full members who have retired from all clinical practice
  • Reduced registration fees for ECR 1
  • Option to participate in the European Diploma. 3
  • Free electronic access to the journal European Radiology
  • Content e-mails for all ESR journals 4
  • Updates on offers & events through our newsletters
  • Exclusive access to the ESR feed in Juisci

€ 0

The best things in life are free.
③

ESR Friends

For students, company representatives or hospital managers etc.

  • Content e-mails for all 3 ESR journals 4
  • Updates on offers & events through our newsletters

€ 0

Friendship doesn’t cost a thing.
Apply now

The membership type best fitting for you will be selected automatically during the application process.

Footnotes:

01

Reduced registration fees for ECR 2025:
Provided that ESR 2024 membership is activated and approved by August 31, 2024.

Reduced registration fees for ECR 2026:
Provided that ESR 2025 membership is activated and approved by August 31, 2025.

02
Not all activities included
03
Examination based on the ESR European Training Curriculum (radiologists or radiology residents).
04
European Radiology, Insights into Imaging, European Radiology Experimental.