April 25th 2024
An emerging deep learning radiomics model, based on B-mode ultrasound and color Doppler flow imaging, demonstrated a 91 percent AUC for predicting lymphovascular invasion in a multicenter study of women with invasive breast cancer.
What New Research Reveals About ChatGPT and Ultrasound Detection of Thyroid Nodules
March 13th 2024In 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.
ECR Study Finds Mixed Results with AI on Breast Ultrasound
March 6th 2024While 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.
FDA Clears Mini Transesophageal Echocardiography Ultrasound Transducer
January 31st 2024Reportedly providing enhanced imaging of structural heart disease, the minimally invasive X11 4t Mini 3D TEE ultrasound transducer facilitates use of the technology in smaller pediatric patients as well as high-risk ICU patients.
FDA Grants De Novo Clearance for Ultrasound-Based Liver Tumor Ablation Software
January 8th 2024The 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.
Can ChatGPT and Bard Bolster Decision-Making for Cancer Screening in Radiology?
December 21st 2023In 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.”