AIMC Topic: Sensitivity and Specificity
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Deep learning-based arterial subtraction images improve the detection of LR-TR algorithm for viable HCC on extracellular agents-enhanced MRI.
Abdominal radiology (New York)
Apr 20, 2024
PURPOSE: To determine the role of deep learning-based arterial subtraction images in viability assessment on extracellular agents-enhanced MRI using LR-TR algorithm.
Liver Neoplasms
Carcinoma, Hepatocellular
Contrast Media
Magnetic Resonance Imaging
Humans
Male
Algorithms
Middle Aged
Aged
Retrospective Studies
Deep Learning
Female
Aged, 80 and over
Image Interpretation, Computer-Assisted
Adult
Image Enhancement
Sensitivity and Specificity
Angiography, Digital Subtraction
Subtraction Technique
Artificial intelligence diagnostic accuracy in fracture detection from plain radiographs and comparing it with clinicians: a systematic review and meta-analysis.
Clinical radiology
Apr 20, 2024
PURPOSE: Fracture detection is one of the most commonly used and studied aspects of artificial intelligence (AI) in medicine. In this systematic review and meta-analysis, we aimed to summarize available literature and data regarding AI performance in...
Artificial intelligence for automated detection and measurements of carpal instability signs on conventional radiographs.
European radiology
Apr 18, 2024
OBJECTIVES: To develop and validate an artificial intelligence (AI) system for measuring and detecting signs of carpal instability on conventional radiographs.
Predicting community acquired bloodstream infection in infants using full blood count parameters and C-reactive protein; a machine learning study.
European journal of pediatrics
Apr 18, 2024
Early recognition of bloodstream infection (BSI) in infants can be difficult, as symptoms may be non-specific, and culture can take up to 48 h. As a result, many infants receive unneeded antibiotic treatment while awaiting the culture results. In thi...
The value of AI-based analysis of fractional flow reserve of volume computed tomographically detected coronary artery stenosis with regard to their hemodynamic relevance.
RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Apr 17, 2024
PURPOSE: The aim of our work was to demonstrate the importance of artificial intelligence-based analysis of fractional flow reserves of computed tomographically detected coronary artery stenosis with regard to their hemodynamic relevance in patients ...
Validation of GPT-4 for clinical event classification: A comparative analysis with ICD codes and human reviewers.
Journal of gastroenterology and hepatology
Apr 16, 2024
BACKGROUND AND AIM: Effective clinical event classification is essential for clinical research and quality improvement. The validation of artificial intelligence (AI) models like Generative Pre-trained Transformer 4 (GPT-4) for this task and comparis...
Using deep learning to optimize the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences.
European journal of radiology
Apr 16, 2024
PURPOSE: To explore diagnostic deep learning for optimizing the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences.
Diagnostic Performance of Radiomics and Deep Learning to Identify Benign and Malignant Soft Tissue Tumors: A Systematic Review and Meta-analysis.
Academic radiology
Apr 13, 2024
RATIONALE AND OBJECTIVES: To systematically evaluate the application value of radiomics and deep learning (DL) in the differential diagnosis of benign and malignant soft tissue tumors (STTs).
[What contribution can make artificial intelligence to urinary cytology?].
Annales de pathologie
Apr 12, 2024
Urinary cytology using the Paris system is still the method of choice for screening high-grade urothelial carcinomas. However, the use of the objective criteria described in this terminology shows a lack of inter- and intra-observer reproducibility. ...
Artificial intelligence for detection of effusion and lipo-hemarthrosis in X-rays and CT of the knee.
European journal of radiology
Apr 10, 2024
BACKGROUND: Traumatic knee injuries are challenging to diagnose accurately through radiography and to a lesser extent, through CT, with fractures sometimes overlooked. Ancillary signs like joint effusion or lipo-hemarthrosis are indicative of fractur...
Aged, 80 and over
Young Adult
Adult
Sensitivity and Specificity
Tomography, X-Ray Computed
Female
Aged
Knee Joint
Exudates and Transudates
Knee Injuries
Hemarthrosis
Male
Humans
Middle Aged
Adolescent
Artificial Intelligence
Radiographic Image Interpretation, Computer-Assisted
Algorithms
Retrospective Studies
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