AIMC Topic: Reproducibility of Results

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Effect of Artificial Intelligence as a Second Reader on the Lung Nodule Detection and Localization Accuracy of Radiologists and Non-radiology Physicians in Chest Radiographs: A Multicenter Reader Study.

Academic radiology Nov 25, 2024
RATIONALE AND OBJECTIVES: Missed nodules in chest radiographs (CXRs) are common occurrences. We assessed the effect of artificial intelligence (AI) as a second reader on the accuracy of radiologists and non-radiology physicians in lung nodule detecti...
Female Radiologists Reproducibility of Results Humans Male Aged Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Middle Aged Sensitivity and Specificity Retrospective Studies Observer Variation Lung Neoplasms Radiography, Thoracic Solitary Pulmonary Nodule Tomography, X-Ray Computed
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Pulmonary Xe MRI: CNN Registration and Segmentation to Generate Ventilation Defect Percent with Multi-center Validation.

Academic radiology Nov 23, 2024
RATIONALE AND OBJECTIVES: Hyperpolarized Xe MRI quantifies ventilation-defect-percent (VDP), the ratio of Xe signal-void to the anatomic H MRI thoracic-cavity-volume. VDP is associated with airway inflammation and disease control and serves as a trea...
Deep Learning Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Xenon Isotopes Adult Humans Male Neural Networks, Computer Middle Aged Female Lung Reproducibility of Results
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An integrated approach to a predictive and ranking model of use error using fuzzy BWM and fuzzy TOPSIS.

International journal of occupational safety and ergonomics : JOSE Nov 23, 2024
Avoiding error in handling artifacts is crucial for achieving a high level of system reliability and safety assessment. This study develops a predictive and ranking model of use error (PRUE). In the first phase, use errors are systematically detected...
Ventilators, Mechanical Artifacts Humans Reproducibility of Results Models, Theoretical Fuzzy Logic
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Automatic Segmentation of Quadriceps Femoris Cross-Sectional Area in Ultrasound Images: Development and Validation of Convolutional Neural Networks in People With Anterior Cruciate Ligament Injury and Surgery.

Ultrasound in medicine & biology Nov 23, 2024
OBJECTIVE: Deep learning approaches such as DeepACSA enable automated segmentation of muscle ultrasound cross-sectional area (CSA). Although they provide fast and accurate results, most are developed using data from healthy populations. The changes i...
Young Adult Adult Male Middle Aged Anterior Cruciate Ligament Reconstruction Ultrasonography Neural Networks, Computer Humans Adolescent Image Processing, Computer-Assisted Female Quadriceps Muscle Reproducibility of Results Anterior Cruciate Ligament Injuries Aged
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Predicting Short-Term Mortality after Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

Annals of vascular surgery Nov 22, 2024
BACKGROUND: Endovascular aneurysm repair (EVAR) has revolutionized the treatment of abdominal aortic aneurysms by offering a less invasive alternative to open surgery. Understanding the factors that influence patient outcomes, particularly for high-r...
Machine Learning Decision Support Techniques Retrospective Studies Clinical Decision-Making Female Blood Vessel Prosthesis Implantation Humans Treatment Outcome Reproducibility of Results Male Endovascular Procedures Decision Trees Middle Aged Endovascular Aneurysm Repair Risk Factors Predictive Value of Tests Risk Assessment Aged Aortic Aneurysm, Abdominal Time Factors Aged, 80 and over Nutritional Status
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Predictive Factors Driving Positive Awake Test in Carotid Endarterectomy Using Machine Learning.

Annals of vascular surgery Nov 22, 2024
BACKGROUND: Positive neurologic awake testing during the carotid cross-clamping may be present in around 8% of patients undergoing carotid endarterectomy (CEA). The present work aimed to assess the accuracy of an artificial intelligence (AI)-powered ...
Predictive Value of Tests Wakefulness Carotid Stenosis Neurologic Examination Endarterectomy, Carotid Middle Aged Risk Assessment Case-Control Studies Intraoperative Neurophysiological Monitoring Treatment Outcome Risk Factors Aged Aged, 80 and over Male Humans Machine Learning Decision Support Techniques Retrospective Studies Female Reproducibility of Results
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The diagnostic value investigation of programmed cell death genes in heart failure.

BMC cardiovascular disorders Nov 22, 2024
BACKGROUND: We aimed to identify the potential diagnostic markers and associated molecular mechanisms based on programmed cell death (PCD)-related genes in patients with heart failure (HF).
Reproducibility of Results Gene Expression Profiling Transcriptome Case-Control Studies Protein Interaction Maps Humans Machine Learning Predictive Value of Tests Genetic Markers Heart Failure Plasminogen Activator Inhibitor 1 Gene Expression Regulation Gene Regulatory Networks Nomograms Databases, Genetic Apoptosis Apoptosis Regulatory Proteins
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Comparison Between Conventional and Artificial Intelligence-Assisted Setup for Digital Implant Planning: Accuracy, Time-Efficiency, and User Experience.

Clinical oral implants research Nov 21, 2024
OBJECTIVES: To investigate the reliability and time efficiency of the conventional compared to the automatic artificial intelligence (AI) segmentation of the mandibular canal and registration of the CBCT with the model scan data, in relation to clini...
Mandible Patient Care Planning Dental Implantation, Endosseous Humans Artificial Intelligence Reproducibility of Results Time Factors Cone-Beam Computed Tomography
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Effectiveness of Comprehensive Video Datasets: Toward the Development of an Artificial Intelligence Model for Ultrasonography-Based Severity Diagnosis of Carpal Tunnel Syndrome.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Nov 21, 2024
OBJECTIVES: Advances in diagnosing carpal tunnel syndrome (CTS) using ultrasonography (US) and artificial intelligence (AI) aim to replace nerve conduction studies. However, a method for accurate severity diagnosis remains unachieved. We explored the...
Artificial Intelligence Algorithms Female Reproducibility of Results Aged Severity of Illness Index Ultrasonography Humans Video Recording Median Nerve Carpal Tunnel Syndrome Adult Sensitivity and Specificity Male Middle Aged
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Machine learning-based identification of general transcriptional predictors for plant disease.

The New phytologist Nov 21, 2024
This study investigated the generalizability of Arabidopsis thaliana immune responses across diverse pathogens, including Botrytis cinerea, Sclerotinia sclerotiorum, and Pseudomonas syringae, using a data-driven, machine learning approach. Machine le...
Plant Diseases Arabidopsis Ascomycota Botrytis Machine Learning Transcription, Genetic Pseudomonas syringae Reproducibility of Results Disease Resistance Plant Immunity Transcriptome Gene Expression Regulation, Plant
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