Resources: Page 39

Are LLMs effective without specific training?
By Liz Carey
Researchers seeking to speed up the development of large-language models (LLMs) are exploring where and how to use a training technique called zero shot, as this Wednesday session will cover.
November 16, 2023
ChatGPT-4 delivers differential diagnosis on abdominal imaging
By Liz Carey
This Tuesday afternoon session will show how ChatGPT-4 performed for producing a differential diagnosis from transcribed radiology reports of abdominal imaging exams.
November 16, 2023
NLP tool helps make radiology reports more readable
By Liz Carey
Researchers from the Yale School of Medicine have developed a patient-centric radiology literacy tool using natural language processing (NLP) technology and prompt engineering to produce radiology reports that are more readable for patients.
November 16, 2023
AI model shows promise for spotting errors in CXR reports
By Liz Carey
A deep-learning algorithm may be able to help reduce diagnostic errors in radiology, according to this presentation on Monday morning.
November 16, 2023
NLP technique eases reporting requirements
By Liz Carey
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
By Liz Carey
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
By Liz Carey
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
By Liz Carey
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
By Liz Carey
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
By Liz Carey
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
By Liz Carey
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
By Will Morton
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
Road To Rsna
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