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Moore’s Law for radiologists

AuntMinnie

Most radiologists have heard of Moore’s Law. A close colleague observed that radiologists are affected by a type of Moore’s Law. The amount of scans a radiologist is expected to shift per day is increasing year on year. Today’s radiologist is expected to shift work at an eye-watering rate. Paul McCoubrie, MBBS.

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Generative AI, radiologist shortages feature in 2024 Minnies

AuntMinnie

The voters also zeroed in on the ongoing shortage of radiologists as the Biggest Threat to Radiology. Importantly, we are gaining deeper insights into disease processes themselves, which enhances our ability to diagnose and potentially treat conditions that were previously beyond our reach." I'm a radiographer,' " Stewart recalled.

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Understanding CT flow artifacts is key to better disease diagnosis

AuntMinnie

Understanding the mechanics of flow artifacts on CT or CT angiography (CTA) and how these artifacts are created is key to better disease diagnosis, according to a review published April 25 in RadioGraphics. In the review, a team led by Caroline Robb, MD, of Mallinckrodt Institute of Radiology, Washington University in St.

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What's best practice for using AI for thoracic imaging?

AuntMinnie

AI for thoracic imaging includes using it for reading chest radiographs and low-dose chest CT scans for lung cancer screening and for triaging pulmonary embolism on chest CT scans, the group noted. Next-generation AI technology shows promise, however.

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Can AI help rule out ‘unremarkable’ chest x-rays?

AuntMinnie

Among questions that remain unanswered about AI is whether the quality of its mistakes is different than those of radiologists and if AI mistakes, on average, are objectively worse than human mistakes. These included chest radiographs that displayed abnormalities of no clinical significance, which are typically treated as normal.

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Road to RSNA 2023: AI Preview

AuntMinnie

AI methods improve detection of Parkinson’s disease Sunday, November 26 | 1:50 p.m.-2:00 S4-SSNR02-6 | Room E352 A systematic review has found that machine-learning and deep-learning techniques are highly sensitive and specific for detecting Parkinson’s disease on dopamine transporter (DaT) SPECT exams. 2:00 p.m. | 1:40 p.m. |

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7 ways to reduce healthcare disparities in radiology

AuntMinnie

Healthcare disparities continue to plague medical imaging, but there are concrete measures radiologists can take to mitigate them, according to a paper published on October 12 in RadioGraphics. Histopathologic biopsy results demonstrated invasive mammary carcinoma with metastatic disease in a right axillary lymph node.