Dear AuntMinnieEurope Member,
As a medical specialty, radiology has made a massive global effort to communicate better and engage more with patients and other healthcare professionals over the past couple of decades. Great progress has been made, but new research from France suggests that more work still needs to be done, particularly among medical students.
Admittedly the sample size of the French survey was small (419), yet the methodology and approach by the multidisciplinary team of authors appear to be thorough, logical, and balanced and unbiased. Many medical students are yet to be convinced about the attractiveness of a career in radiology, it seems. Find out more in the MRI Community.
Europe's second largest medical imaging congress, Journées Francophones de Radiologie (JFR), begins in Paris next week. Ahead of the congress, we caught up with Dr. Marc Zins, who's presiding over the meeting. Don't miss our wide-ranging and thought-provoking interview with him, and watch out for further coverage next week.
When the U.K. National Institute for Health and Clinical Excellence (NICE) releases a new report, it's wise to take note. The agency doesn't determine government policy, but its advice is scrutinized closely in the corridors of power. It's recently issued recommendations on AI and chest x-rays, and we've posted an article about the 24-page report.
Looking at our traffic for the past week or so, many of you enjoyed the article about a Danish study that found radiologists outperformed four commercially available algorithms for identifying diseases on chest x-rays. As a follow-up, we've posted a video interview with first author Dr. Louis Plesner of Herlev and Gentofte Hospital in Copenhagen.
Transformer-based neural networks were developed for the computer processing of human language and have since fueled large language models like ChatGPT and Google's AI chat service, Bard. German researchers think these tools have applications when it comes to improving image interpretations.
