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.

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Latest posts

Unleashing the power of data in radiology: A look ahead

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

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

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

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

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

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 →

Unleashing the power of data in radiology: A look ahead

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

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

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

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

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

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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  • Reduced registration fees for ECR 1
  • Free electronic access to the journal European Radiology
  • Content e-mails for all 3 ESR journals 4
  • Updates on offers & events through our newsletters
  • Exclusive access to the ESR feed in Juisci

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Footnotes:

01

Reduced registration fees for ECR 2024:
Provided that ESR 2023 membership is activated and approved by August 31, 2023.

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

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.