AIMC Journal:
Radiology
Showing 291 to 300 of 374 articles
Automated Interstitial Lung Abnormality Probability Prediction at CT: A Stepwise Machine Learning Approach in the Boston Lung Cancer Study.
Radiology
Sep 1, 2024
Background It is increasingly recognized that interstitial lung abnormalities (ILAs) detected at CT have potential clinical implications, but automated identification of ILAs has not yet been fully established. Purpose To develop and test automated I...
Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography.
Radiology
Aug 1, 2024
Background Artificial intelligence (AI) systems can be used to identify interval breast cancers, although the localizations are not always accurate. Purpose To evaluate AI localizations of interval cancers (ICs) on screening mammograms by IC category...
Knowledge-Augmented Deep Learning for Segmenting and Detecting Cerebral Aneurysms With CT Angiography: A Multicenter Study.
Radiology
Aug 1, 2024
Background Deep learning (DL) could improve the labor-intensive, challenging processes of diagnosing cerebral aneurysms but requires large multicenter data sets. Purpose To construct a DL model using a multicenter data set for accurate cerebral aneur...
Using AI to Identify Unremarkable Chest Radiographs for Automatic Reporting.
Radiology
Aug 1, 2024
Background Radiology practices have a high volume of unremarkable chest radiographs and artificial intelligence (AI) could possibly improve workflow by providing an automatic report. Purpose To estimate the proportion of unremarkable chest radiograph...
Fully Automated Deep Learning Model to Detect Clinically Significant Prostate Cancer at MRI.
Radiology
Aug 1, 2024
Background Multiparametric MRI can help identify clinically significant prostate cancer (csPCa) (Gleason score ≥7) but is limited by reader experience and interobserver variability. In contrast, deep learning (DL) produces deterministic outputs. Purp...
Integrated Diagnostics: Embracing Artificial Intelligence and, Above All, Multidisciplinary Teamwork.
Radiology
Jul 1, 2024
Screening Outcomes of Mammography with AI in Dense Breasts: A Comparative Study with Supplemental Screening US.
Radiology
Jul 1, 2024
Background Comparative performance between artificial intelligence (AI) and breast US for women with dense breasts undergoing screening mammography remains unclear. Purpose To compare the performance of mammography alone, mammography with AI, and mam...
Weakly Supervised Deep Learning in Radiology.
Radiology
Jul 1, 2024
Deep learning (DL) is currently the standard artificial intelligence tool for computer-based image analysis in radiology. Traditionally, DL models have been trained with strongly supervised learning methods. These methods depend on reference standard...
Interobserver Agreement and Performance of Concurrent AI Assistance for Radiographic Evaluation of Knee Osteoarthritis.
Radiology
Jul 1, 2024
Background Due to conflicting findings in the literature, there are concerns about a lack of objectivity in grading knee osteoarthritis (KOA) on radiographs. Purpose To examine how artificial intelligence (AI) assistance affects the performance and i...
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