James Hamilton

Practice Management
What does the 2016 election mean for radiology?
With Donald Trump winning the U.S. presidential election and the Republicans maintaining control of both the U.S. House of Representatives and the Senate, the country will shift to the right and federal and state healthcare policy could change dramatically. What might this mean for radiology?
November 9, 2016
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CT may best conventional measurements for assessing BMD in diabetics
CT may offer a better picture of fracture risk than conventional bone mineral density (BMD) measurements in people with diabetes.
MR image from a 55-year-old patient with triple-negative breast cancer from training set. (A, above) Axial postcontrast T1-weighted image from baseline MRI exam shows unifocal enhancing mass (unifocality: positive). (B, below) Axial postcontrast T1-weighted image from MRI examination per-formed after one cycle of neoadjuvant chemoimmunotherapy shows >37% reduction in lesion size (early tumor shrinkage: positive) and development of non-enhancing region within lesion (percentage enhancement reduction: positive).
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MRI-based model predicts treatment response in breast cancer patients
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Data transparency is lacking for FDA-cleared Alzheimer's AI technology
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Womens Imaging
AI spots breast lesions on targeted ultrasound
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CT may best conventional measurements for assessing BMD in diabetics
By Kate Madden Yee
CT may offer a better picture of fracture risk than conventional bone mineral density (BMD) measurements in people with diabetes.
July 30, 2025
Back Spine Skeleton
MRI-based model predicts treatment response in breast cancer patients
By Amerigo Allegretto
An MRI-based model performed well in predicting pathologic complete response in women with triple-negative breast cancer.
July 30, 2025
MR image from a 55-year-old patient with triple-negative breast cancer from training set. (A, above) Axial postcontrast T1-weighted image from baseline MRI exam shows unifocal enhancing mass (unifocality: positive). (B, below) Axial postcontrast T1-weighted image from MRI examination per-formed after one cycle of neoadjuvant chemoimmunotherapy shows >37% reduction in lesion size (early tumor shrinkage: positive) and development of non-enhancing region within lesion (percentage enhancement reduction: positive).
Data transparency is lacking for FDA-cleared Alzheimer's AI technology
By Liz Carey
Lack of transparency raises concerns about algorithmic bias impacting care planning for patients with Alzheimer's disease.
July 30, 2025
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AI spots breast lesions on targeted ultrasound
By Amerigo Allegretto
Combining AI with radiologist interpretation can improve breast lesion detection on targeted ultrasound.
July 30, 2025
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In-bore MRI-targeted biopsy effective in prostate cancer
By Will Morton
Concordance between biopsy and surgical grade groups was moderate (60.2%), with a risk of undergrading, researchers reported.
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Adverse reaction rates to GBCAs are low in children
By Kate Madden Yee
The review suggests gadolinium-based contrast agents (GBCAs) are relatively safe for children.
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Informatics leaders propose AI model integration framework
By Liz Carey
Editorial calls for a clearly defined division of labor between AI systems and radiologists.
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AI reduces false-negative rates on screening DBT
By Amerigo Allegretto
An AI algorithm spotted about one-third of interval cancers on screening DBT exams, cutting down false-negative rates.
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Visual reads of amyloid PET scans effective in real-world settings
By Will Morton
The findings support the use of amyloid PET scans as acquired and visually read in the real world.
July 28, 2025
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MRI reveals effects of ultraprocessed food on the heart
By Kate Madden Yee
MRI shows that a higher intake of ultraprocessed food is associated with a greater burden of atherosclerotic plaque in the carotid artery.
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ASRT survey shows vacancy rates still high among imaging departments
By Amerigo Allegretto
A new ASRT survey found that vacancy rates are still high among imaging departments, though some specialties show slight decreases.
July 28, 2025
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Can eye gaze data from radiologists make AI more human?
By Will Morton
Researcher Jeremy Wolfe, MD, discusses an emerging trend of integrating eye gaze data from radiologists into AI algorithms.
July 25, 2025
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