French survey reveals what radiologists expect from AI
A new survey from France has shown that most radiologists believe artificial intelligence (AI) will reduce medical errors and allow them to spend more time with patients, but many of them still do not use AI. They fear they lack sufficient knowledge, and this may hamper future practice.
Postmortem pediatric imaging proves value
What are the key indications, advantages, and limitations of postmortem pediatric imaging? Which modality works best? And what is the role of 3D printing? Dr. Owen Arthurs from London's Great Ormond Street Hospital provides some answers.
PET/CT ties ischemia risk to artery inflammation
PET/CT images are offering evidence of a link between vascular patterns at the time of diagnosis for giant cell arteritis and a patient's risk of an ischemic event, Spanish researchers explained in a study published online on 12 May in the European Journal of Nuclear Medicine and Molecular Imaging.
Novel MRI technique diagnoses, monitors kidney fibrosis
German researchers have developed a method to image, diagnose, and stage kidney fibrosis. By using an MRI contrast agent specific to elastin, they demonstrated the use of their technique for longitudinal diagnosis and monitoring of patients.
3D MRI captures changes to fetal head during birth
Researchers from France have used 3D MRI to visualize changes to the shape of the fetal brain and skull during the second stage of labor. The images revealed that fetal heads may experience greater stress than previously imagined, according to an article published online on 15 May in PLOS One.
DBT alone is safe for population-based screening
Researchers from Norway have found that breast cancer screening with digital breast tomosynthesis (DBT) plus synthesized 2D mammography performs comparably to digital mammography and can safely be used alone in population-based screening programs. Their study of nearly 29,000 women was published on 8 May in Lancet Oncology.
AI image interpretation platforms come of age
Image interpretation systems involving artificial intelligence (AI) have improved dramatically, and huge potential now exists for boosting patient management decisions with image preanalysis by AI algorithms, writes Dr. Neelam Dugar. Adopting common standards is vital, however.
EuSoMII supports worldwide survey on radiology AI
A team of Dutch, German, Czech, and U.S. radiologists and radiology residents has unveiled an online survey to determine how members of the global medical imaging community view the use of artificial intelligence (AI). The European Society of Medical Imaging Informatics (EuSoMII) supports the initiative.
AI predicts myocardial infarction, death in patients at risk of CAD
By analyzing clinical and hybrid imaging data, an artificial intelligence (AI) algorithm can predict which patients will go on to experience myocardial infarction or death during long-term follow-up, according to research from Finland presented at this week's International Conference on Nuclear Cardiology and Cardiac CT in Lisbon.
How to train the medical physicists of the future
At the recent European Society for Radiotherapy and Oncology meeting in Milan, a debate examined the skills that medical physicists will require in 10 years' time and asked how training for medical physicists specializing in radiation oncology should develop over the next decade. Five expert speakers presented their thoughts -- and then let the audience decide.

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