Video from RSNA 2019: The 4 pillars of enterprise imaging

Dec 4, 2019
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Chatgpt
LLMs decrease in accuracy over time on radiology exams
November 21, 2024
Vaping E Cigarette Man
Functional MRI illuminates what motivates e-cigarette use
November 21, 2024
Radiologist Computer Screen X Ray
Student-led initiative working to close gender gap in radiology
November 20, 2024
Heart Pulmonary Trunk
CT-defined CAC predicts cardiovascular events in lung cancer patients
November 20, 2024
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LLMs decrease in accuracy over time on radiology exams
By Will Morton
Large language models (LLMs) demonstrate high accuracy on radiology exams, yet decrease in accuracy over time.
November 21, 2024
Chatgpt
Functional MRI illuminates what motivates e-cigarette use
By Kate Madden Yee
Functional MRI shows that e-cigarette users perceive the product as equally rewarding as money -- a finding that highlights the addictive potential of vaping.
November 21, 2024
Vaping E Cigarette Man
Student-led initiative working to close gender gap in radiology
By Amerigo Allegretto
A student-led initiative called Women in Radiology Education (WIRED) is working to close the gender gap in radiology.
November 20, 2024
Radiologist Computer Screen X Ray
CT-defined CAC predicts cardiovascular events in lung cancer patients
By Kate Madden Yee
CT-defined coronary artery calcification (CAC) scores can help predict the occurrence of conditions such as heart attack or stroke in lung cancer patients.
November 20, 2024
Heart Pulmonary Trunk
Medicare finalizes 2025 Fee Schedule cut
By Sandy Coffta
In a new column, Sandy Coffta of Healthcare Administrative Partners assesses how the 2025 Medicare Physician Fee Schedule Final Rule will impact radiology.
November 20, 2024
Coffta Sandy Thumbnail
Share of nonphysician practitioners' imaging interpretation doubles
By Kate Madden Yee
Nonphysician practitioners' share of imaging interpretation in office-based medical practices has more than doubled over the past decade.
November 20, 2024
Mammo Reading
Nomogram model predicts malignancy risk in ovarian masses
By Amerigo Allegretto
A nomogram model based on O-RADS ultrasound findings and clinical and lab indicators can predict malignancy risk in adnexal cystic-solid masses.
November 19, 2024
Ovarian Cancer Social
PET links chronic stress to aggressive endometrial cancer
By Will Morton
Brain activity related to chronic stress may be associated with the aggressiveness of tumors in women with endometrial cancer.
November 19, 2024
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Head CT offers insight into old strokes
By Kate Madden Yee
Incidental discovery of old strokes on head CT imaging offers clinicians an opportunity to put measures against future strokes into place.
November 19, 2024
Brain Stroke
Climate change boosts emergency department use of x-ray, CT
By Kate Madden Yee
Climate change's effects -- particularly higher outdoor heat and air pollution -- increase imaging use in the emergency department, especially x-ray and CT.
November 19, 2024
Earth Thumbnail
Radiologists prefer local AI advice over global
By Will Morton
Radiologists and other physicians tend to trust AI more when the algorithms provide local rather than global explanations of findings on chest x-rays.
November 19, 2024
Ai Explainability2 673bc0b7a0c1f Thumbnail
FAPI-PET/CT superior to FDG-PET/CT in assessing liver cancer
By Will Morton
A recent study suggests that PET/CT imaging with a FAPI radiotracer is superior to F-18 FDG-PET/CT for assessing patients with liver cancer.
November 18, 2024
Two cases of pathologically confirmed intrahepatic cholangiocarcinomas in 68-year-old male patients. In both cases (A-H, case 1; I-P, case 2), CT scans (B, F, case 1; J, N, case 2) revealed intrahepatic bile duct dilation and suspected nodular lesions. While F-18 FDG PET/CT (A, C, D, case 1; I, K, L, case 2) failed to demonstrate abnormal tracer uptake (SUVmax 3.5, TBR 1.3 in Case 1; SUVmax 2.6, TBR 1.2 in Case 2), F-18 FAPI-04 PET/CT (E, G, H, case 1; M, O, P, case 2 ) showed positive uptake in the nodular lesions (SUVmax 9.7, TBR 3.5 in Case 1; SUVmax 9.6, TBR 3.3 in Case 2). Image available for republishing under Creative Commons license (CC BY 4.0 DEED, Attribution 4.0 International) and courtesy of BMC Cancer.
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