Video from RSNA 2016: AI and radiology -- Separating hope from hype

Nov 28, 2016

Artificial intelligence (AI) is one of the most hyped -- and most feared -- technologies to come along in radiology in years. Dr. Paul Chang from the University of Chicago separates AI's hope from hype in this video interview from RSNA 2016.

Paul Chang's Interview. Is artificial intelligence threat to radiology?

New benchmark helps monitor cumulative CT radiation dose

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Study questions routine use of radiotherapy after bone surgery

February 13, 2026

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CEUS outshines color Doppler imaging for indeterminate kidney lesions

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Women's Imaging MinnieCast, Episode 2: Risk-based vs. annual mammography screening, part 1

February 13, 2026

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

Study questions routine use of radiotherapy after bone surgery

Findings suggest a possible hazard associated with postoperative radiotherapy.

February 13, 2026

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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.

February 13, 2026

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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.

February 13, 2026

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Chest x-rays reveal atherosclerosis in patients undergoing amputations

Lower limb amputation is an increasingly common major complication of advanced peripheral arterial disease and diabetes mellitus.

February 12, 2026

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3D MRI technique helps plan treatment for pediatric heart conditions

By Kate Madden Yee

The method makes "heart muscle and heart valves visible while making blood and surrounding tissues transparent," researchers noted.

February 12, 2026

Cardiac Mri Adobe Samunella

Could AI scoring help with managing DCIS?

By Amerigo Allegretto

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.

February 11, 2026

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.

Radiology coding update for 2026

By Erin Stephens

In a new column, Erin Stephens of Healthcare Administrative Partners reviews the 2026 CPT code changes.

February 11, 2026

Super-resolution deep learning reconstruction improves CCTA

The commercially available image reconstruction algorithm outperformed standard hybrid iterative reconstruction for assessing coronary stenosis.

February 10, 2026

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.

Nonsurgical management rising for low-risk DCIS cases

By Amerigo Allegretto

Trends show that nonsurgical management of DCIS is rising, paving the way for imaging's role in active surveillance.

February 10, 2026

Breast Mammo 400

Gadoxetate MRI offers high sensitivity for liver cancer screening

By Kate Madden Yee

"Most participants undergoing HCC screening had excellent MRI quality even when ultrasound was limited," researchers noted.

February 10, 2026

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