RSNA 2023: Page 15

Opportunity for osteoporosis check on lumbar spine plain radiographs
By Liz Carey
A deep learning-based framework for automated screening of osteoporosis on lumbar spine plain radiographs shows potential as another way to opportunistically make use of imaging studies performed for other indications, according to this presentation.
November 8, 2023
AI analysis of chest CT exams predicts cardiovascular disease
By Erik L. Ridley
A deep-learning algorithm can predict a patient’s risk of atherosclerotic cardiovascular disease from analysis of a single chest CT image, according to a group of researchers from Harvard Medical School.
November 8, 2023
Can CAD software reduce missed fractures in the ED?
By Liz Carey
Deep learning-based computer-aided detection (CAD) software shows potential for helping to avoid missed fractures on radiographs in the emergency department (ED), according to this talk.
November 8, 2023
CT radiomics can help classify indeterminate solitary pulmonary nodules
By Liz Carey
CT radiomics analysis can be a viable noninvasive option for aiding management decisions of indeterminate solitary lung nodules detected on noncontrast chest CT scans in colorectal cancer patients, this study has found.
November 8, 2023
AI algorithm predicts morbidity, mortality on spine DEXA exams
By Erik L. Ridley
In this Tuesday morning talk, researchers will describe how a deep-learning algorithm’s assessment of biological age on dual-energy x-ray absorptiometry (DEXA) exams can facilitate morbidity and mortality predictions.
November 8, 2023
CT body composition metrics portend post-TIPS mortality
By Erik L. Ridley
CT body composition metrics calculated by an AI model can improve mortality predictions in patients receiving a transjugular intrahepatic portosystemic shunt (TIPS), according to this presentation.
November 8, 2023
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Machine-learning model detects, characterizes rib fractures on CT
By Erik L. Ridley
A machine-learning model can detect traumatic rib fractures on CT scans and automatically provide a fracture severity score, according to this scientific presentation.
November 8, 2023
Team studies CT image features for lung adenocarcinoma prognostication
By Liz Carey
Deep learning-based analysis of morphological and histopathological features on CT can successfully predict survival in lung adenocarcinomas, according to this retrospective dual-institution study.
November 8, 2023
AI algorithm helps to spot overlooked fractures
By Erik L. Ridley
In this talk, researchers will highlight the potential for AI software in detecting fractures that are often missed on radiographs.
November 8, 2023
AI sharply reduces radiologist reading times on chest CT
By Liz Carey
With help from an AI algorithm, radiologists can detect and classify lung nodules on routine clinical chest CT exams faster and more effectively, according to this new study.
November 8, 2023
Can AI opportunistically detect gastric cancer on noncontrast CT?
By Liz Carey
This gastrointestinal imaging-related session will discuss the effectiveness of using an AI model in combination with noncontrast CT exams for the detection of gastric cancer tumors.
November 8, 2023
AI methods improve detection of Parkinson’s disease
By Erik L. Ridley
A systematic review has found that machine-learning and deep-learning techniques are highly sensitive and specific for detecting Parkinson’s disease on dopamine transporter SPECT exams.
November 8, 2023
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