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Dear AI Insider,

CT radiographers have a central role to play in the clinical implementation of AI, particularly when it comes to optimizing patient care, managing radiation dose, and ensuring image quality, a European team has found.

Radiographers’ successful collaboration with radiologists and medical physicists will be essential to harness the full potential of AI, driving innovation while maintaining the highest standards of patient care, the group added. You can find out more in today’s top story.

The use of AI software is a must for CT lung cancer screening, particularly for detecting and characterizing nodules, Prof. Mathieu Lederlin, president of the Journées Francophones de Radiologie (JFR 25), told us in a special feature article. At Lederlin’s own hospital, radiologists are using and evaluating several AI tools, both for performing simple tasks on complex exams, such as CT nodule detection, or complex tasks on simple exams, like interpreting chest x-rays.

In other news, AI decision-support software is being implemented by National Health Service (NHS) England to speed up intervention for stroke patients. An analysis of more than 60,000 brain scans shows that the software, implemented at all 100 regularly admitting NHS stroke services last summer, can reduce the time between a patient presenting with a stroke and receiving treatment by more than 60 minutes.

For many years now, we’ve been posting authoritative and timely articles from the team at Signify Research. In the latest offering, market analyst Umar Ahmed shares his thoughts on embedding AI into imaging workflows.

High-performing AI models can detect breast cancer with great accuracy, but they still miss some cancers, making it vital to find exams where AI is unreliable and where human interpretation is needed. Dutch researchers have attempted to develop a strategy for using uncertainty estimation for AI-based breast cancer detection models in screening.

These articles are only a small selection of the material we’ve posted recently in the AI content area. Please check out the full list here.

Philip Ward
Editor in Chief
AuntMinnieEurope.com

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