AIMC Topic: Incidental Findings
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Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm - a single centre retrospective study.
The international journal of cardiovascular imaging
Aug 28, 2024
To preliminarily verify the feasibility of a deep-learning (DL) artificial intelligence (AI) model to localize pulmonary embolism (PE) on unenhanced chest-CT by comparison with pulmonary artery (PA) CT angiography (CTA). In a monocentric study, we re...
Aged, 80 and over
Adult
Male
Middle Aged
Retrospective Studies
Female
Reproducibility of Results
Aged
Humans
Pulmonary Embolism
Algorithms
Computed Tomography Angiography
Pulmonary Artery
Incidental Findings
Deep Learning
Predictive Value of Tests
Radiographic Image Interpretation, Computer-Assisted
Feasibility Studies
Incidental pulmonary nodules: Natural language processing analysis of radiology reports.
Respiratory medicine and research
Aug 22, 2024
BACKGROUND: Pulmonary nodules are a common incidental finding on chest Computed Tomography scans (CT), most of the time outside of lung cancer screening (LCS). We aimed to evaluate the number of incidental pulmonary nodules (IPN) found in 1 year in o...
Editorial Comment: Enhancing Radiologist Sensitivity for Incidental Pulmonary Embolism Detection With Artificial Intelligence-A Prospective Validation Study.
AJR. American journal of roentgenology
Jul 3, 2024
Prospective Evaluation of Artificial Intelligence Triage of Incidental Pulmonary Emboli on Contrast-Enhanced CT Examinations of the Chest or Abdomen.
AJR. American journal of roentgenology
Jun 20, 2024
Artificial intelligence (AI) algorithms improved detection of incidental pulmonary embolism (IPE) on contrast-enhanced CT (CECT) examinations in retrospective studies; however, prospective validation studies are lacking. The purpose of this study w...
Artificial Intelligence: Can It Save Lives, Hospitals, and Lung Screening?
The Annals of thoracic surgery
May 28, 2024
BACKGROUND: Early detection is essential in lung cancer survival. Lung screening or incidental detection on unrelated imaging holds the most promise for early detection. With the large volume of imaging performed today, management of incidental pulmo...
Ocular biomarkers: useful incidental findings by deep learning algorithms in fundus photographs.
Eye (London, England)
May 11, 2024
BACKGROUND/OBJECTIVES: Artificial intelligence can assist with ocular image analysis for screening and diagnosis, but it is not yet capable of autonomous full-spectrum screening. Hypothetically, false-positive results may have unrealized screening po...
Socio-Economic Factors and Clinical Context Can Predict Adherence to Incidental Pulmonary Nodule Follow-up via Machine Learning Models.
Journal of the American College of Radiology : JACR
Mar 8, 2024
OBJECTIVE: To quantify the relative importance of demographic, contextual, socio-economic, and nodule-related factors that influence patient adherence to incidental pulmonary nodule (IPN) follow-up visits and evaluate the predictive performance of ma...
Artificial intelligence support in MR imaging of incidental renal masses: an early health technology assessment.
European radiology
Feb 23, 2024
OBJECTIVE: This study analyzes the potential cost-effectiveness of integrating an artificial intelligence (AI)-assisted system into the differentiation of incidental renal lesions as benign or malignant on MR images during follow-up.
Deep learning for malignancy risk estimation of incidental sub-centimeter pulmonary nodules on CT images.
European radiology
Dec 20, 2023
OBJECTIVES: To establish deep learning models for malignancy risk estimation of sub-centimeter pulmonary nodules incidentally detected by chest CT and managed in clinical settings.
Oncocytic adrenocortical neoplasm of borderline uncertain malignant potential diagnosed after robot-assisted adrenalectomy case report.
BMC urology
Apr 15, 2023
BACKGROUND: Adrenal incidentalomas are radiologically discovered tumors that represent a variety of pathologies, with the diagnosis clinched only on surgical pathology. These tumors may be clinically monitored, but triggers for surgery include size >...
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