Structured reporting

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Article • Artificial intelligence meets internal medicine

Medical AI: Enter ‘dea ex machina’

In the world of theatre, the ‘deus ex machina’, the god from the machine, is a dramaturgical trick to resolve seemingly unsolvable conflicts. Can artificial intelligence (AI) also be such a…

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Article • Multi-disciplinary approach

Nurturing integrated diagnostics in oncology

Under the roof of integrated diagnostics, radiology, laboratory medicine and pathology are forming a powerful alliance. Hedvig Hricak, MD, PhD, explains the potential for cancer patients and details…

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News • Digital health company

Brainlab acquires Mint Medical

Brainlab, a digital medical technology company, announced today the acquisition of Mint Medical GmbH, a Heidelberg-based company that develops image reading and reporting software for clinical…

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Video • Coronavirus structured reporting

Radiology and COVID-19: How to establish safe workflows

Radiology experts from Norway and Germany highlighted the role of structured reporting in communicating clear results to the rest of the team, to improve patient and staff safety during the pandemic.…

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Article • Potentials and pitfalls for IB development

Imaging biomarkers: Close surveillance is mandatory

Imaging biomarkers (IB) have advanced tremendously since first described 25 years ago, but many challenges still block their widespread use. During the EuSoMII’s annual meeting in Valencia, Dr…

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Article • 4D imaging, structured reporting and more

The ascent of AI in thorax-CT

As a highly innovative medical specialisation, radiology increasingly takes advantage of the possibilities offered by artificial intelligence (AI). Yet, there is no risk for the future of the…

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Article • Avoiding mistakes

Errors and near misses in breast imaging

Errors in breast imaging: the subject is vexing. How to avoid or address errors are also concerning. These subjects lay at the core of a presentation to radiologists during the recent annual congress of the British Institute of Radiology, when consultant radiologist Dr Rosalind Given-Wilson described the how, where, and what of errors or near misses, along with their impact on patients and…

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Article • Cardiology & radiology

AI opens up boundaries between medical disciplines

Uwe Joseph Schoepf, Professor for Radiology, Cardiology and Paediatrics and Director of the Department of Cardiovascular Imaging at the Medical University of South Carolina, discusses areas of application for AI-based radiology. The cardiothoracic imaging expert and his team were largely involved in the development and early clinical trials of the Siemens AI-Rad Companion Chest CT, a software…

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Article • The ‘bionic’ radiologist

Three steps towards the future of radiology

Professor Marc Dewey, Vice Chair of the Department of Radiology at Charité - Universitätsmedizin Berlin, made value-based radiology the main theme of the Wilhelm Conrad Röntgen Honorary Lecture during ECR 2018. Radiology practice needs change, he said, and radiologists should grasp at new technology to drive their future. His lecture was summarised in a recent comment in The Lancet.

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Article • The power of mobile intelligent information systems

Structuring data collection and diagnosis

Today’s healthcare IT market offers myriads of so-called comprehensive solutions to digitise administrative processes. However, in real life, long and verbose diagnoses and medical findings - and even paper-based documentation - are still widespread.

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Article • Managing data

Devising structured reports

Structured reporting in radiology is easier to say than do. Initially radiologists must agree on the structure of the report itself. Then they need to agree on what to report. Those two very different challenges help to explain why migration into the Digital Age of radiology reports is moving at Ice Age speed.

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