Thoracic Imaging: Page 34

RöKo 2018: Neural network looks deep into the lungs
Today's radiologists can use elaborate, computer-supported analysis methods to learn far more from CT data. A study presented at the German Radiology Congress (Deutscher Röntgenkongress, RöKo 2018) showed that CT datasets can provide a fairly precise assessment of lung function.
May 16, 2018
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Kauczor: Lung cancer screening works if you do it right
Lung cancer screening was a central theme at the German Radiology Congress (Deutscher Röntgenkongress, RöKo 2018) in Leipzig. Dr. Hans-Ulrich Kauczor from Heidelberg explained how screening with low-dose CT can be used effectively.
May 9, 2018
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Radiographers read chest x-rays as well as radiologists
By Kate Madden Yee
Radiographers can read chest x-rays as well as radiologists, according to a new study published on 30 April in Academic Radiology. The finding is good news for busy departments -- allowing radiographers to read chest x-rays could streamline workflow, the U.K. researchers noted.
May 6, 2018
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CAD gains momentum for scoring of lung nodules
By Philip Ward
Computer-aided detection (CAD) and risk stratification are useful for excluding lung cancer on thoracic CT, according to Scottish and Dutch researchers. CAD followed by radiology review of suspicious cases is cost-effective and can lead to a 30% reduction in screening costs, they say.
May 1, 2018
2018 05 01 17 36 7840 Lungs Smoke 400
Dubai Health Authority highlights chest x-ray AI success
By AuntMinnieEurope.com staff writers
A chest x-ray artificial intelligence (AI) algorithm developed by Agfa HealthCare has yielded promising results in a preliminary evaluation of nearly 5,000 chest x-rays by the Dubai Health Authority in the United Arab Emirates.
April 11, 2018
Does organ-specific CT dose reduction really reduce dose?
By Abraham Kim
Researchers from Belgium are questioning whether organ-based tube-current modulation in CT chest studies of women really reduces radiation dose. They found that while radiation dose to the breast fell, it increased in other areas, according to a study published on March 27 in Radiology.
April 4, 2018
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Median teams with French hospital for AI lung screening
By AuntMinnieEurope.com staff writers
Imaging software developer Median Technologies is collaborating with Nice University Hospital in France to use artificial intelligence to identify imaging biomarkers for lung cancer screening.
March 11, 2018
AI can help distinguish lung nodules on CT scans
By Erik L. Ridley
VIENNA - Artificial intelligence (AI) offers value in characterizing nodules on CT lung cancer screening exams, possibly reducing the number of benign cases that are unnecessarily worked or followed up, according to a pair of Thursday presentations at ECR 2018.
March 1, 2018
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Separating the art of medicine from artificial intelligence
By Dr. Hugh Harvey
Is it feasible to develop an artificial intelligence algorithm that can actually "read" chest x-rays? The task is definitely not an easy one and major challenges must be addressed, writes radiologist Dr. Hugh Harvey in his new column.
February 20, 2018
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Why errors in radiology are no easy matter
By Philip Ward
Radiologists who make errors are not always negligent, sloppy, or careless, but a greater emphasis on training and competency as well as improvements in systems used for reporting and communication of images can reduce the number of discrepancies and clinical incidents, U.K. researchers have found.
February 14, 2018
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French find no need for CT to rule out PE
By Abraham Kim
French researchers found that a set of clinical criteria was just as accurate as a protocol that included CT pulmonary angiography for ruling out pulmonary embolism (PE) in the emergency department, according to an article published in the February 13 issue of the Journal of the American Medical Association.
February 13, 2018
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Agfa collaborates on AI x-ray algorithm
By AuntMinnieEurope.com staff writers
Agfa HealthCare will collaborate with the Dubai Health Authority to validate a chest x-ray artificial intelligence (AI) algorithm designed to enhance image analysis, automate reports, and improve clinical efficiency.
January 30, 2018
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