RSNA 2023: Page 8

Use MRI volumetric analysis to track effects of Parkinson's disease
By Kate Madden Yee
In this scientific session, researchers will share how MRI volumetric analysis based on a deep-learning segmentation algorithm can help clinicians assess intracranial and white matter volumes in Parkinson's disease patients.
November 17, 2023
MRI illuminates gray-matter changes in diabetic patients
By Kate Madden Yee
MRI shows that people with type 2 diabetes experience a reduction of gray matter, particularly in the basal ganglia, as the disease progresses, according to a study to be presented Sunday afternoon.
November 17, 2023
DWI-MRI shows success as supplemental breast imaging tool
By Amerigo Allegretto
In this session, researchers will demonstrate how diffusion-weighted imaging MRI (DWI-MRI) could be a useful supplemental screening tool in breast imaging.
November 17, 2023
Road to RSNA 2023: Imaging Informatics Preview
By Liz Carey
In many respects, AI has come to dominate the field of imaging informatics research, a trend that will be evident at RSNA 2023.
November 17, 2023
Road To Rsna
AI reduced CT brain reporting time in teleradiology
By Liz Carey
An AI algorithm deployed to assist with noncontrast CT brain reports in Australia cut radiologist reporting time by up to 8.5%, according to this scientific session.
November 16, 2023
Seeking trustworthy automated detection for hip implant
By Liz Carey
A deep-learning classifier designed to create a deep-learning “trustworthiness pipeline,” in this case for a total hip arthroplasty aid in clinical settings, recognized 28 implants on plain hip radiographs, according to recent research.
November 16, 2023
Additional Coverage
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Locally derived calibration sets prove useful for predicting AI performance
In this presentation, researchers will reveal how they were able to improve AI algorithm performance by utilizing local data.
November 16, 2023
Novel method aims to stop white-box, black-box attacks on AI diagnosis models
By Liz Carey
Citing vulnerabilities with deep learning-based mammographic breast cancer diagnosis models, a University of Pittsburgh research team has developed and evaluated a novel technical framework that could defend against adversarial attacks on AI software.
November 16, 2023
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
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