AIMC Topic: Tomography, X-Ray Computed

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Identifying severe community-acquired pneumonia using radiomics and clinical data: a machine learning approach.

Scientific reports Sep 19, 2024
Evaluating Community-Acquired Pneumonia (CAP) is crucial for determining appropriate treatment methods. In this study, we established a machine learning model using radiomics and clinical features to rapidly and accurately identify Severe Community-A...
Radiomics Severity of Illness Index Female Male Pneumonia Aged Middle Aged Community-Acquired Infections Adult Humans Machine Learning Tomography, X-Ray Computed
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The potential benefit of artificial intelligence regarding clinical decision-making in the treatment of wrist trauma patients.

Journal of orthopaedic surgery and research Sep 19, 2024
PURPOSE: The implementation of artificial intelligence (AI) in health care is gaining popularity. Many publications describe powerful AI-enabled algorithms. Yet there's only scarce evidence for measurable value in terms of patient outcomes, clinical ...
Female Adult Male Wrist Injuries Artificial Intelligence Humans Tomography, X-Ray Computed Middle Aged Clinical Decision-Making Radius Fractures
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Artificial intelligence in paediatric head trauma: enhancing diagnostic accuracy for skull fractures and brain haemorrhages.

Neurosurgical review Sep 19, 2024
Pediatric head trauma is a significant cause of morbidity and mortality, with children, particularly those under two years old, being more susceptible to skull fractures due to their unique physiological and developmental characteristics. A recent st...
Humans Craniocerebral Trauma Child, Preschool Artificial Intelligence Magnetic Resonance Imaging Tomography, X-Ray Computed Skull Fractures Infant
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Quality assessment of expedited AI generated reformatted images for ED acquired CT abdomen and pelvis imaging.

Abdominal radiology (New York) Sep 18, 2024
PURPOSE: Retrospectively compare image quality, radiologist diagnostic confidence, and time for images to reach PACS for contrast enhanced abdominopelvic CT examinations created on the scanner console by technologists versus those generated automatic...
Quality Assurance, Health Care Tomography, X-Ray Computed Radiology Information Systems Female Humans Middle Aged Radiography, Abdominal Aged Emergency Service, Hospital Artificial Intelligence Contrast Media Adult Retrospective Studies Pelvis Male Radiographic Image Interpretation, Computer-Assisted
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Human lung cancer classification and comprehensive analysis using different machine learning techniques.

Microscopy research and technique Sep 18, 2024
Lung cancer is the most common causes of death among all cancer-related diseases. A lung scan examination of the patient is the primary diagnostic technique. This scan analysis pertains to an MRI, CT, or X-ray. The automated classification of lung ca...
Decision Trees Humans Bayes Theorem Lung Image Processing, Computer-Assisted Machine Learning Lung Neoplasms Algorithms Support Vector Machine Tomography, X-Ray Computed
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Deep Learning-Based Denoising Enables High-Quality, Fully Diagnostic Neuroradiological Trauma CT at 25% Radiation Dose.

Academic radiology Sep 18, 2024
RATIONALE AND OBJECTIVES: Traumatic neuroradiological emergencies necessitate rapid and accurate diagnosis, often relying on computed tomography (CT). However, the associated ionizing radiation poses long-term risks. Modern artificial intelligence re...
Sensitivity and Specificity Male Middle Aged Female Aged Adult Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Algorithms Retrospective Studies Tomography, X-Ray Computed
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SeqSeg: Learning Local Segments for Automatic Vascular Model Construction.

Annals of biomedical engineering Sep 18, 2024
Computational modeling of cardiovascular function has become a critical part of diagnosing, treating and understanding cardiovascular disease. Most strategies involve constructing anatomically accurate computer models of cardiovascular structures, wh...
Humans Algorithms Tomography, X-Ray Computed Deep Learning Magnetic Resonance Imaging Aorta Models, Cardiovascular
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Integrating neural networks with advanced optimization techniques for accurate kidney disease diagnosis.

Scientific reports Sep 18, 2024
Kidney diseases pose a significant global health challenge, requiring precise diagnostic tools to improve patient outcomes. This study addresses this need by investigating three main categories of renal diseases: kidney stones, cysts, and tumors. Uti...
Tomography, X-Ray Computed Deep Learning Kidney Diseases Kidney Calculi Humans Neural Networks, Computer Algorithms
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Advancements in automated classification of chronic obstructive pulmonary disease based on computed tomography imaging features through deep learning approaches.

Respiratory medicine Sep 18, 2024
Chronic Obstructive Pulmonary Disease (COPD) represents a global public health issue that significantly impairs patients' quality of life and overall health. As one of the primary causes of chronic respiratory diseases and global mortality, effective...
Deep Learning Respiratory Function Tests Humans Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive
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Deep Learning Model for Pathological Grading and Prognostic Assessment of Lung Cancer Using CT Imaging: A Study on NLST and External Validation Cohorts.

Academic radiology Sep 17, 2024
RATIONALE AND OBJECTIVES: To develop and validate a deep learning model for automated pathological grading and prognostic assessment of lung cancer using CT imaging, thereby providing surgeons with a non-invasive tool to guide surgical planning.
Carcinoma, Non-Small-Cell Lung Neoplasm Grading Deep Learning Cohort Studies Lung Neoplasms Sensitivity and Specificity Male Middle Aged Humans Prognosis Reproducibility of Results Tomography, X-Ray Computed Aged Female
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