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Putting the AI in Radiology
Can deep learning enhance the synergy between man and machine? Industry luminaries ponder the ways artificial intelligence is currently being applied to radiology and the prospects they consider most fascinating.

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A New Look
While 2D mammography remains the gold standard for breast screening, some say breast CT with contrast is poised to surpass it—and all of the other modalities that are presently in favor.

Surveying the Field
Traumatic brain injury continues to take a heavy toll on modern athletes. A biomedical engineer is developing innovative MRI-generated computer models that may lead to better concussion diagnoses and possibly a time-saving sideline protocol for athletes.

5 Things to Watch in 2018
RSNA offered a wealth of insights on developments in the industry. Here are several we will be keeping an eye on.

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What Machine Learning in Radiology Has in Common
With Baseball's Electronic Strike Zone
By Alex Merkulov, MD

History
A 61-year-old woman with suspected primary hyperparathyroidism was referred by her surgeon for preoperative imaging. Her recent total calcium was slightly elevated to 10.8 mg/dL (normal range is 8.9 mg/dL to 10.1 mg/dL). Her free (ionized) calcium and parathyroid hormone (PTH) levels were also elevated. The patient had a remote history of leukemia and was in remission since the 1990s. She underwent thyroid ultrasound imaging and 99mTc-sestamibi scintigraphy as part of her preoperative evaluation of primary hyperparathyroidism. Continue reading »
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