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Mammography News: FDA Clears New Functionalities for DeepHealth’s AI-Powered Breast Suite

Advances in AI — June 2026

Aidoc’s First Read X-Ray Reporting Software Gets FDA’s Breakthrough Device Designation

FDA Clears Emerging AI Segmentation Module for Brain MRI

Observations and Reflections from the 2026 SNMMI Conference: An Interview with Jeremie Calais, MD, PhD

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The newly launched HOPPR Presto Agent reporting platform can be integrated into existing radiology systems and AI models without the need for new software.

In a recent interview, Constance Lehman, MD, PhD, discussed newly published research demonstrating the dynamic capability of AI-based risk scores, drawn from screening mammograms, to facilitate risk-adaptive screening.

In a recent episode of our “Molecular Imaging in Focus” series, Surekha Yadav, MBBS, MD, discussed research presented at the SNMMI conference that showed significant advantages of PSMA PET over conventional imaging for detection of osseous oligometastatic prostate cancer (PCa).

The VascularAssist Occlusion Triage software reportedly demonstrated over a 90 percent sensitivity for detecting peripheral artery disease (PAD) on CT in clinical performance testing.

A combination of incentives and embrace of technology-enhanced efficiencies may facilitate underlying ‘autopilot’ motivations toward increased achievement in navigating radiology worklists.

Catch up on the top radiology content of the past week.

The use of FAPI PET/CT offered a 97 percent pooled sensitivity for detecting peritoneal metastases in a patient-based analysis in a new meta-analysis involving over 800 patients.

New research suggests that photon-counting CT may provide critical insight into a diagnostic dilemma that has challenged radiologists for decades.

For patients with advanced melanoma, the melanin-targeted PET radiotracer (¹⁸F)DMPY2 offered superior detection of metastatic foci in the brain and liver in comparison to (¹⁸F)FDG, according to preliminary comparative research presented at the recent SNMMI conference.

In a recent interview, Mary L. Bouxsein, PhD, discussed challenges with access to dual-energy X-ray absorptiometry (DEXA) screening for osteoporosis, the emergence of biomechanical CT (BCT) and the potential impact of national Medicare coverage of BCT for bone mass measurement.

For pancreatic cancers less than or equal to 20 mm, a deep learning model offered a nearly 45 percent higher sensitivity rate with non-contrast CT in comparison to unassisted radiologist interpretation.

Noting that frustration over slow implementation of technological advances may be contributing to mounting radiologist frustration and subsequent burnout, this author offers key principles for integrating technological solutions into radiology workflows.

In the latest episode of the Molecular Imaging in Focus series, Michael Hofman, MBBS, FRACP, discussed the potential of an emerging PET radiotracer for DVT detection spotlighted in SNMMI’s “Image of the Year,” a new advance in total body PET/CT and other highlights from the SNMMI conference.

While use of an AI software demonstrated significantly higher accuracy in evaluating BI-RADS 2 presentations and no significant difference with radiologists in BI-RADS 4 assessments of breast ultrasound in a sub-analysis, researchers noted the exclusion of galactoceles, fluid collections and skin lesions that are commonly found in pregnant and lactating women.




























