Adam Davidson

Ultrasound
Ultrasound AI helps solve real-world clinical problems
Artificial intelligence (AI) algorithms for ultrasound are helping to solve real-world clinical problems for end users, according to a new report from market research firm Omdia. AI is already helping ultrasound practitioners cope with strained resources.
November 26, 2020
2020 11 24 23 52 9427 Ultrasound Scanner Computerized 400
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New benchmark helps monitor cumulative CT radiation dose
By Kate Madden Yee
The findings highlight the need for systematic dose tracking and rigorous justification of imaging.
February 13, 2026
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Study questions routine use of radiotherapy after bone surgery
By Will Morton
Findings suggest a possible hazard associated with postoperative radiotherapy.
February 13, 2026
2026 02 13 Port Fractures Thumbnail
CEUS outshines color Doppler imaging for indeterminate kidney lesions
By Amerigo Allegretto
CEUS outperformed color Doppler ultrasound in a study focusing on indeterminate kidney lesions.
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2026 02 12 Wfumb Sertic Ceus Kidney Lesions Thumbnail
Women's Imaging MinnieCast, Episode 2: Risk-based vs. annual mammography screening, part 1
By Amerigo Allegretto
Vilert Loving, MD, from Ochsner Health and the SBI discusses breast cancer screening based on annual mammography versus risk.
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Minnie Cast Thumbnail (1) 1
Chest x-rays reveal atherosclerosis in patients undergoing amputations
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Lower limb amputation is an increasingly common major complication of advanced peripheral arterial disease and diabetes mellitus.
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2026 02 12 Chest Ac2 Thumbnail
3D MRI technique helps plan treatment for pediatric heart conditions
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The method makes "heart muscle and heart valves visible while making blood and surrounding tissues transparent," researchers noted.
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Cardiac Mri Adobe Samunella
Could AI scoring help with managing DCIS?
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An AI model showed associations with recurrence after DCIS surgery and performed comparably to established clinical risk models.
February 11, 2026
Images of a 39-year-old who underwent screening mammography. Right craniocaudal (left) and mediolateral oblique (middle) views from preoperative mammography show suspicious grouped fine pleomorphic calcifications (arrows). After biopsy showed ductal carcinoma of situ (DCIS), patient underwent breast-conserving surgery, yielding final diagnosis of ductal carcinoma in situ (intermediate grade, hormone receptor positive). (Right) Screenshot of an output of a commercial AI tool applied to preoperative mammography. AI detected right breast lesion with score of 95% on both views (concentric colored circles). Present study’s reviewing radiologist deemed AI marking to correspond with site of DCIS.
Clinicians, beware: CT diagnostic accuracy varies by adnexal lesion type
By Kate Madden Yee
The modality correctly diagnoses dermoids and simple cysts, but is not as effective at identifying other types of adnexal lesions.
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Axial contrast-enhanced CT scan in a 28-year-old premenopausal woman shows an incidentally detected solid-appearing left ovarian lesion (solid arrow) anterior to the uterus (U), associated with trace ascites in the right adnexa and cul de sac (dashed arrows). At pathologic analysis, this was shown to be ovarian dysgerminoma. Two readers misdiagnosed this lesion, one as a leiomyoma and one as an ovarian fibroma.
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Erin Stephens
Super-resolution deep learning reconstruction improves CCTA
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Images from two representative cases. (A-C) Images in an 82-year-old man with a calcified plaque in the proximal segment of the left anterior descending artery. (A, B) Curved planar reconstruction images from CCTA with (A) hybrid iterative reconstruction (HIR) and (B) super-resolution deep learning reconstruction (SR-DLR) show that the measured PDS was 66% for the HIR image and 42% for the SR-DLR image. (C) Quantitative analysis of the invasive coronary angiography (ICA) image (reference standard) revealed a PDS of 34% (arrow). (D-F) Images in a 37-year-old woman with a noncalcified plaque in the middle segment of the left circumflex artery. (D, E) Curved planar reconstruction images from CCTA with (D) HIR and (E) SR-DLR show that the measured PDS was 47% for the HIR image and 80% for the SR-DLR image. (F) Quantitative analysis of the ICA image revealed a PDS of 72% (arrow). Blue, red, and yellow lines in A, B, D, and E represent the proximal reference point, stenosed lesion, and distal reference point, respectively, and the insets show the corresponding cross-sectional images.
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Gadoxetate MRI offers high sensitivity for liver cancer screening
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"Most participants undergoing HCC screening had excellent MRI quality even when ultrasound was limited," researchers noted.
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