Oncology Ultrasound

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

In a comparison of image-to-text large language models (LLMs), ChatGPT 4.0 offered a 95 percent sensitivity rate and an 83 percent AUC that were comparable to that of two senior radiologists and one junior radiologist interacting with LLM to differentiate between malignant and benign thyroid nodules on ultrasound.

While adjunctive use of AI led to significantly higher specificity and accuracy rates in detecting cancer on breast ultrasound exams in comparison to unassisted reading by breast radiologists, researchers noted that 12 of 13 BI-RADS 3 lesions upgraded by AI were ultimately benign, according to research presented at the European Congress of Radiology.

Designed for full-body imaging, the new modality reportedly offers a lightweight portable design, AI-powered tools and enhanced high-resolution images.

Catch up on the most-well viewed radiology content in February 2024.

Catch up on the top AI-related news and research in radiology over the past month.

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

What does the current evidence reveal for four FDA-cleared AI software modalities for breast ultrasound? Leading researchers review the study findings in a recently published literature review.

Recently cleared by the FDA, the iQ3 point-of-care ultrasound system reportedly offers new advances in 3D imaging capabilities.

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

Catch up on the top AI-related news and research in radiology over the past month.

The BioTraceIO software reportedly facilitates visualization of liver tumor ablation procedures based on real-time ultrasound imaging and provides superior post-op estimates of ablation zone volume in comparison to computed tomography.

The EndoSound Vision System reportedly enables providers to convert existing upper gastrointestinal endoscopes into endoscopic ultrasound modalities.

Catch up on the top AI-related news and research in radiology over the past month.

In a study examining the potential of the large language models ChatGPT-4 and Bard to follow ACR Appropriateness Criteria for breast cancer, lung cancer, ovarian cancer and colorectal cancer screening, researchers noted “impressive accuracy in making radiologic clinical decisions.”

Catch up on the most well-read ultrasound articles from 2023.

Emerging research suggests that stand-alone artificial intelligence (AI) assessment of breast ultrasound exams could eliminate over 45 percent of unnecessary follow-up exams.

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

Providing 25 features to facilitate optimal workflow and user effectiveness, the portable Acuson Maple ultrasound can reportedly be utilized in a variety of clinical settings.

Combining enhanced imaging capabilities, workflow efficiencies and artificial intelligence (AI)-enabled technology to improve the diagnosis and management of health conditions in women, Samsung has launched the V6 ultrasound system.

New research shows that pelvic MRI offers equivalent sensitivity but nearly 20 percent greater specificity than transvaginal ultrasound for the classification of adnexal lesions.

A 49-study meta-analysis revealed that MRI-based and CT-based radiomics models outperformed clinical models for predicting recurrence of hepatocellular carcinoma.

Combining phased and linear arrays on a single head, the Clarius PAL HD3 ultrasound device was unveiled at the recent American College of Emergency Physicians (ACEP) Scientific Assembly conference.

The Exo Iris reportedly combines advanced silicon technology with imaging, workflow software and artificial intelligence (AI) to facilitate multidisciplinary use of point-of-care ultrasound.

Catch up on the top AI-related news and research in radiology over the past month.