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
2016 11 09 17 13 17 585 United States Flag 400
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MRI
Deep-learning technique boosts diagnostic ability of fast knee MRI
A new, fast deep learning-based MR imaging technique shows excellent performance for diagnosing knee injuries, researchers have reported.
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Molecular Imaging
PET scans identify people at early risk for cognitive decline
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Ultrasound
Most veterans adhere to post-EVAR surveillance imaging
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CT
Quantitative CT textures of the lung help assess COPD severity
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AI
Health data restrictions plague medtech AI developers
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Deep-learning technique boosts diagnostic ability of fast knee MRI
By Kate Madden Yee
A new, fast deep learning-based MR imaging technique shows excellent performance for diagnosing knee injuries, researchers have reported.
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PET scans identify people at early risk for cognitive decline
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Amyloid PET scans in people with early signs of Alzheimer’s can identify those at higher risk of progressing to cognitive decline.
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Most veterans adhere to post-EVAR surveillance imaging
By Amerigo Allegretto
Adherence to surveillance imaging after endovascular abdominal aortic aneurysm repair (EVAR) is high among veterans.
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Quantitative CT textures of the lung help assess COPD severity
By Kate Madden Yee
Quantitative CT can capture lung inflammation patterns to assess the severity of chronic obstructive pulmonary disease (COPD).
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Copd
Health data restrictions plague medtech AI developers
By Liz Carey
Medtech industry and health leaders from big tech have introduced a new AI Policy Roadmap.
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ACS: Breast cancer screening rates have recovered post-COVID
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Rates of up-to-date breast cancer screening have recovered after declining during the COVID-19 pandemic.
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Lung POCUS helps diagnose dyspnea in emergency departments
By Amerigo Allegretto
Point-of-care lung ultrasound may be useful in the emergency department for diagnosing dyspnea.
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Images show lung ultrasound findings of major pleuro-pulmonary pathologies. (a) Pleural effusion; (b) Pneumonia; (c) Bronchopneumonia; (d) Acute pulmonary edema; (e) Chronic obstructive pulmonary disease exacerbation; (f) Pleuropulmonary tumors; (g) Acute respiratory distress syndrome.
MRI tool segments over 60 abdominal organs, structures
By Amerigo Allegretto
An automated multiorgan tool can accurately segment T1-weighted abdominal MR images.
April 22, 2025
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AI produces synthetic 3T MR images from portable scans
By Erik L. Ridley
Findings show that AI could potentially expand the utility of neuroimaging on portable MRI systems.
April 22, 2025
Figure: Improved image quality with a generative adversarial network architecture for low- to high-field-strength image translation, called LowGAN. (A–C) Top: High-field-strength (3-T) and low-field-strength (64-mT) images and LowGAN outputs for a single participant across (A) fluid-attenuated inversion recovery (FLAIR), (B) T1-weighted (T1w), and (C) T2-weighted (T2w) contrasts. Bottom: Graphs demonstrate the structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and feature similarity index (FSIM) between high field strength and low field strength (64-mT) and high field strength and LowGAN outputs. a.u. = arbitrary units.****p ≤ 0.0001. Images and caption courtesy of Radiology and the RSNA.
Machine learning standardizes bone tumor grading on MRI, CT
By Kate Madden Yee
An AI algorithm and an updated risk stratification system produce accurate and standardized bone lesion assessment on CT and MRI.
April 22, 2025
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Accelerated MRI protocols reduce environmental impact
By Will Morton
Accelerating MRI protocols can cut greenhouse gas emissions, energy use, and costs, while also improving patient access and revenue.
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Environment
Ultrasound-based model finds endometrial malignancies
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Clinical and ultrasound features improve diagnostic accuracy for detecting endometrial malignancy.
April 22, 2025
Ultrasound Gynecologist
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