RSNA 2023: Page 9

NLP technique eases reporting requirements

Using natural language processing (NLP) for real-world evidence gleaned from radiology reports could relieve burdens on those with reporting requirements related to postmarket safety of cancer drugs, according to a Monday morning presentation.

November 16, 2023

Macro tool tracks incidental findings for follow-up

When a large academic health system used standardized consensus-based macros to track actionable incidental findings most found the macros helpful because they saved time and ensured appropriate follow-up, according to a project to be presented Monday.

November 16, 2023

Machine-learning model prioritizes STAT imaging orders

If you have considered that a “STAT” designation on imaging orders could be overutilized, misused, or obscure the urgency of the order, you will want to hear how an automated system has been designed to prioritize some STAT orders to the top of the queue.

November 16, 2023

The cloud can enable better radiology AI integration

Adding a layer of cloud-based software may improve the integration of AI results into the PACS, radiology report, and EHR, according to a proof-of-concept study to be presented Monday.

November 16, 2023

Team determines optimal parameters for patient-specific 3D printing

In this talk, researchers from the University of Pittsburgh will present optimized settings for 3D printing of femurs in patients with cam-type femoroacetabular impingement.

November 16, 2023

How GPTs, Bard performed for readability, complexity of lung cancer health information

This session will reveal how well large-language models summarize and simplify health information about lung cancer prevention and screening.

November 16, 2023

How ChatGPT, Bard ranked in appropriateness of lung cancer answers

While ChatGPT and Google Bard were both able to answer nonexpert questions about lung cancer prevention, screening, and terminology commonly used in radiology reports, ChatGPT won this battle of large-language models, according to this study.

November 16, 2023

Road to RSNA 2023: Molecular Imaging

This is just the third year that RSNA has offered a dedicated track on nuclear medicine and molecular imaging, with eight scientific sessions covering research in prostate cancer imaging, breast cancer, cardiovascular and pulmonary imaging, and more.

November 16, 2023

Can AI predict treatment response in patients with prostate cancer?

An AI model based on F-18 DCFPyL PSMA-PET/CT images will be presented here that shows promise for predicting treatment response in patients with metastatic castration-resistant prostate cancer.

November 15, 2023

Does contrast media used with PET/MRI make a difference?

Findings presented during this session suggest that the use of MRI contrast agents during PET/MRI exams has no additional positive benefit for primary and follow-up staging of pediatric lymphoma patients.

November 15, 2023

Can FDG-PET/MRI radiomics help diagnose rhabdomyosarcoma in children?

In this session on pediatrics and general oncology, a study will be presented that explored the value of F-18 FDG-PET/MRI radiomics features in predicting rhabdomyosarcoma in children.

November 15, 2023

FDG-PET reveals patterns in newly recognized fused in sarcoma proteinopathy

FDG-PET may help differentiate patients with fused in sarcoma, a newly recognized proteinopathy causing progressive dementia, from those with Alzheimer’s disease and frontotemporal dementia, according to this presentation.

November 15, 2023

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