Prediction of the development of new coronary atherosclerotic plaques with radiomics.
J Cardiovasc Comput Tomogr
2024
18
3
274-280
Medical large language models are susceptible to targeted misinformation attacks.
NPJ Digit Med
2024
7
1
LLM-AIx: An open source pipeline for Information Extraction from unstructured medical text based on privacy preserving Large Language Models.
medRxiv
2024
Rapid Plaque Progression Is Independently Associated With Hyperglycemia and Low HDL Cholesterol in Patients With Stable Coronary Artery Disease: A PARADIGM Study.
Circ Cardiovasc Imaging
2024
17
7
The effectiveness of coronary computed tomography angiography and functional testing for the diagnosis of obstructive coronary artery disease: results from the individual patient data Collaborative Meta-Analysis of Cardiac CT (COME-CCT).
Insights Imaging
2024
15
1
Rationale and design of the CONFIRM2 (Quantitative COroNary CT Angiography Evaluation For Evaluation of Clinical Outcomes: An InteRnational, Multicenter Registry) study.
J Cardiovasc Comput Tomogr
2024
18
1
11-17
Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detection.
RMD Open
2024
10
4
Large Language Model Ability to Translate CT and MRI Free-Text Radiology Reports Into Multiple Languages.
Radiology
2024
313
3
Autonomous medical evaluation for guideline adherence of large language models.
NPJ Digit Med
2024
7
1
Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph Reports.
Radiology
2024
313
1