Key Strategies for Success in the Workplace

Sep 23rd, 2011
San Diego, CA
US
https://store.aheconline.com/DisplayDetail.aspx?pid=6821
The current drivers for our healthcare system are a stressed care delivery system and institutions going through change.
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Participating students said the program increased their awareness of careers in medical imaging and radiology.
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Ultrasound MinnieCast, Episode 18: SDMS 2026
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Three experts who presented at SDMS 2026 speak with AuntMinnie on various topics within sonography practice.
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A chat platform integrated within the EMR and targeted education reduced phone call volume by half in a radiology department.
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Scott Miller of GEHC discusses the trend toward unified imaging platforms in a new column.
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Medicare payment for cardiac CT declining
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Inflation-adjusted Medicare payment for cardiac CT declined 27% to 68% between 2010 and 2026, despite guideline endorsement.
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Patients who underwent five treatments of SBRT for pancreatic cancer had better physical function and experienced less fatigue.
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Making AI matter at the point of care
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In a new column, Kelly Londy of GE HealthCare describes what's needed to unlock the benefits of AI in radiology.
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Next year's theme in Chicago, IL, is "The Full Spectrum: From Discovery to Delivery, Expanding What's Possible."
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Patients receiving SRS lived almost 18 months after treatment.
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ASTRO cancer care facility entrance sign with blue dimensional letters and purple planter with white and yellow flowers
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The boom in radiopharmaceutical therapy (RPT) driven by theranostics is having a significant impact on radiation oncology.
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ASTRO cancer care organization sign with blue letters and lavender base decorated with white and yellow flowers
Cardiac MRI-derived metrics predict adverse cardiac disease outcomes
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Diastolic function markers from cardiac MRI yielded incremental value over clinical risk factors and traditional imaging markers.
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Glowing red anatomical illustration of a human heart with visible coronary arteries and internal chambers on dark background
Bosniak predicts renal cancer with unfavorable histologic features
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The 2019 version of the Bosniak risk classification system can predict cancer in cystic renal masses with unfavorable histology.
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Four abdominal CT scan images with arrows indicating anatomical features for medical diagnosis
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