Video from ECR 2018: Sergey Morozov on tapping AI's potential

Feb 28, 2018

There's a lot of talk and fuss at the moment about artificial intelligence (AI), but how can it really boost efficiency and improve workflow, and how can you realize the full potential of the emerging technology? Dr. Sergey Morozov, PhD, professor, CEO of the Research and Practice Center of Medical Radiology, and chief radiology officer of Moscow, provides some answers in part two of our special focus on AI.

There's a lot of talk and fuss at the moment about artificial intelligence (AI), but how can it really boost efficiency and improve workflow, and how can you realize the full potential of the emerging technology? Dr. Sergey Morozov, PhD, professor, CEO of the Research and Practice Center of Medical Radiology, and chief radiology officer of Moscow, provides some answers in part two of our special focus on AI.

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.

Could AI scoring help with managing DCIS?

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.

Clinicians, beware: CT diagnostic accuracy varies by adnexal lesion type

February 11, 2026

Radiology coding update for 2026

February 11, 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.

Super-resolution deep learning reconstruction improves CCTA

February 10, 2026

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

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

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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.

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Podcast: MRI service engineer faced nightmare with man's entrapment

MRI service engineers aren't generally first responders, says MRI safety expert Josh Posh.

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PET/CT visualizes complications in patients on hemodialysis

F-18 sodium fluoride PET/CT scans can quantify changes in cardiac and aortic vascular calcifications.

February 9, 2026

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DBT-guided biopsies show practical advantages

By Amerigo Allegretto

New research says DBT-guided biopsies lead to less procedure times and radiation exposure compared to mammography-guided biopsies.

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Radiology is at an inflection point

By Dhruv Chopra

Radiology is a cornerstone of modern medical diagnostics, but today is at an inflection point, said Civie CEO Dhruv Chopra in a new column.

February 9, 2026

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PSMA-PET/CT best for staging prostate cancer

The finding is from a head-to-head comparison of PSMA-PET/CT with five other techniques.

February 6, 2026

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Could CEUS improve BI-RADS assessment?

By Amerigo Allegretto

Adding Contrast-enhanced ultrasound (CEUS) to BI-RADS could help improve classification of breast lesions.

February 6, 2026

Contrast Injector

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