Jeffrey Sorenson

Artificial Intelligence
Utilization is the new innovation in healthcare enterprise AI
Enterprise artificial intelligence (AI) has shown tremendous promise in the field of radiology, specifically around assistive intelligence. But what can be done to improve confidence in its use? Jeff Sorenson explains.
February 1, 2021
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Top Stories
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Practice Management
Does AI contribute to burnout for radiologists?
Frequent AI use is associated with an increased risk of radiologist burnout, particularly among those with high workloads and low AI acceptance.
Back Pain 400
Ultrasound
Elastography shows tissue stiffness in athletes with low-back pain
Chatgpt
Artificial Intelligence
LLMs decrease in accuracy over time on radiology exams
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MRI
Functional MRI illuminates what motivates e-cigarette use
Radiologist Computer Screen X Ray
Womens Imaging
Student-led initiative working to close gender gap in radiology
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Does AI contribute to burnout for radiologists?
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Elastography shows tissue stiffness in athletes with low-back pain
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Shear-wave elastography shows tissue stiffness in athletes with low-back pain, which could help guide rehabilitation strategies.
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LLMs decrease in accuracy over time on radiology exams
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Functional MRI shows that e-cigarette users perceive the product as equally rewarding as money -- a finding that highlights the addictive potential of vaping.
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Student-led initiative working to close gender gap in radiology
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A student-led initiative called Women in Radiology Education (WIRED) is working to close the gender gap in radiology.
November 20, 2024
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CT-defined CAC predicts cardiovascular events in lung cancer patients
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CT-defined coronary artery calcification (CAC) scores can help predict the occurrence of conditions such as heart attack or stroke in lung cancer patients.
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Medicare finalizes 2025 Fee Schedule cut
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In a new column, Sandy Coffta of Healthcare Administrative Partners assesses how the 2025 Medicare Physician Fee Schedule Final Rule will impact radiology.
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Share of nonphysician practitioners' imaging interpretation doubles
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Nonphysician practitioners' share of imaging interpretation in office-based medical practices has more than doubled over the past decade.
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Nomogram model predicts malignancy risk in ovarian masses
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A nomogram model based on O-RADS ultrasound findings and clinical and lab indicators can predict malignancy risk in adnexal cystic-solid masses.
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PET links chronic stress to aggressive endometrial cancer
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Brain activity related to chronic stress may be associated with the aggressiveness of tumors in women with endometrial cancer.
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Head CT offers insight into old strokes
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Incidental discovery of old strokes on head CT imaging offers clinicians an opportunity to put measures against future strokes into place.
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Climate change's effects -- particularly higher outdoor heat and air pollution -- increase imaging use in the emergency department, especially x-ray and CT.
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