2023 AI Preview

AI software flags missed intracranial aneurysms on CTA
By Erik L. Ridley
In this talk, researchers from Tel Aviv University in Israel will describe how an AI algorithm can retrospectively detect intracranial aneurysms that had been missed on CT angiography (CTA) exams.
November 8, 2023
Algorithm hunts for unreported osteoporosis markers on chest x-rays
By Liz Carey
An AI algorithm can find radiographic markers for osteoporosis that are common but often not reported on radiology reports, according to this scientific paper.
November 8, 2023
Deep-learning model can spot patients at high risk of COPD
By Liz Carey
This scientific presentation will present external validation results for a deep-learning model in identifying individuals at high risk of incident chronic obstructive pulmonary disease (COPD) on routine outpatient chest x-rays.
November 8, 2023
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
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
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