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The Oncology Virtual Expert AI software reportedly provides semi-automated segmentation maps of brain tumors based on standard brain MRI scans.

In a recent interview discussing the SNMMI conference, Jeremie Calais, MD, PhD, shared his thoughts on emerging advances. a key mentor in nuclear medicine and combination therapy for prostate cancer.

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.

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.

Catch up on the latest imaging research from the recent SNMMI conference.

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.