Jeffrey Sorenson

AI
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
2019 04 05 22 13 3278 Computer Digital Cockpit 400
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Top Stories
Black Patient
Molecular Imaging
Amyloid PET scans validated in racially diverse patients
Changes in care plans occurred in 59% of individuals after PET scans.
Breast Screening Mammo
Womens Imaging
Limited access to PCPs thwarts mammography screening uptake
Ultrasound Portable 400
Ultrasound
POCUS rules out pulmonary congestion in kidney patients
Medicare Puzzle
Economics
Low-value imaging services part of high Medicare costs
Plain chest radiograph showing overlay from Critical Care Suite, with segmentation of ETT, identification of tube tip and carina, and calculation of distance between them.
Digital X-Ray
AI helps clinicians identify misplaced endotracheal tubes
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Amyloid PET scans validated in racially diverse patients
By Will Morton
Changes in care plans occurred in 59% of individuals after PET scans.
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Limited access to PCPs thwarts mammography screening uptake
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Limited access to primary care providers (PCPs) and variable screening recommendations hinder mammography uptake, researchers report.
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POCUS rules out pulmonary congestion in kidney patients
By Amerigo Allegretto
Point-of-care lung ultrasound can rule out pulmonary congestion in acute kidney injury patients when used by a trained nurse.
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Low-value imaging services part of high Medicare costs
By Maryam Payne
Four of the most frequently provided services in a study evaluating low-value services for Medicare costs were for imaging.
August 1, 2025
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AI helps clinicians identify misplaced endotracheal tubes
By Will Morton
A commercially available AI tool was especially useful for identifying critically misplaced tubes.
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Plain chest radiograph showing overlay from Critical Care Suite, with segmentation of ETT, identification of tube tip and carina, and calculation of distance between them.
fMRI confirms yet again that exercise really does improve mood
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The findings offer a "more nuanced neurobiological model for the therapeutic effects of exercise," the researchers noted.
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Doximity: Radiology makes top 5 specialties for compensation growth
By Amerigo Allegretto
Radiology experienced high growth in physician compensation and remains an in-demand medical specialty, according to Doximity.
July 31, 2025
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As AI continues to be incorporated into radiology, its use could also expose clinicians to risk, both short- and long-term.
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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.
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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.
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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.
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AI spots breast lesions on targeted ultrasound
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Combining AI with radiologist interpretation can improve breast lesion detection on targeted ultrasound.
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