AI Medical Compendium Journal:
Journal of imaging informatics in medicine

Showing 51 to 60 of 183 articles

The Fine-Tuned Large Language Model for Extracting the Progressive Bone Metastasis from Unstructured Radiology Reports.

Journal of imaging informatics in medicine Aug 26, 2024
Early detection of patients with impending bone metastasis is crucial for prognosis improvement. This study aimed to investigate the feasibility of a fine-tuned, locally run large language model (LLM) in extracting patients with bone metastasis in un...
Large Language Models Retrospective Studies Bone Neoplasms Aged Humans Female Natural Language Processing Male Middle Aged
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DECNet: Left Atrial Pulmonary Vein Class Imbalance Classification Network.

Journal of imaging informatics in medicine Aug 20, 2024
In clinical practice, the anatomical classification of pulmonary veins plays a crucial role in the preoperative assessment of atrial fibrillation radiofrequency ablation surgery. Accurate classification of pulmonary vein anatomy assists physicians in...
Humans Deep Learning Atrial Fibrillation Heart Atria Pulmonary Veins
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2023 Industry Perceptions Survey on AI Adoption and Return on Investment.

Journal of imaging informatics in medicine Aug 20, 2024
This SIIM-sponsored 2023 report highlights an industry view on artificial intelligence adoption barriers and success related to diagnostic imaging, life sciences, and contrasts. In general, our 2023 survey indicates that there has been progress in ad...
Workflow Humans Diagnostic Imaging Radiology Artificial Intelligence Surveys and Questionnaires
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Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset.

Journal of imaging informatics in medicine Aug 20, 2024
In this study, we present a method based on Monte Carlo Dropout (MCD) as Bayesian neural network (BNN) approximation for confidence-aware severity classification of lung diseases in COVID-19 patients using chest X-rays (CXRs). Trained and tested on 1...
COVID-19 Female SARS-CoV-2 Male Middle Aged Humans Neural Networks, Computer Severity of Illness Index Lung Diseases Bayes Theorem Radiography, Thoracic Monte Carlo Method
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From Revisions to Insights: Converting Radiology Report Revisions into Actionable Educational Feedback Using Generative AI Models.

Journal of imaging informatics in medicine Aug 19, 2024
Expert feedback on trainees' preliminary reports is crucial for radiologic training, but real-time feedback can be challenging due to non-contemporaneous, remote reading and increasing imaging volumes. Trainee report revisions contain valuable educat...
Radiology Humans Formative Feedback Reproducibility of Results
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Deep Learning-Based Model for Non-invasive Hemoglobin Estimation via Body Parts Images: A Retrospective Analysis and a Prospective Emergency Department Study.

Journal of imaging informatics in medicine Aug 19, 2024
Anemia is a significant global health issue, affecting over a billion people worldwide, according to the World Health Organization. Generally, the gold standard for diagnosing anemia relies on laboratory measurements of hemoglobin. To meet the need i...
Anemia Male Middle Aged Humans Prospective Studies Deep Learning Retrospective Studies Female Emergency Service, Hospital Aged Hemoglobins Adult
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Harnessing Deep Learning for Accurate Pathological Assessment of Brain Tumor Cell Types.

Journal of imaging informatics in medicine Aug 16, 2024
Primary diffuse central nervous system large B-cell lymphoma (CNS-pDLBCL) and high-grade glioma (HGG) often present similarly, clinically and on imaging, making differentiation challenging. This similarity can complicate pathologists' diagnostic effo...
Support Vector Machine Image Interpretation, Computer-Assisted Deep Learning Glioma Humans Neural Networks, Computer Brain Neoplasms Lymphoma, Large B-Cell, Diffuse
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Construction and Validation of a General Medical Image Dataset for Pretraining.

Journal of imaging informatics in medicine Aug 15, 2024
In the field of deep learning for medical image analysis, training models from scratch are often used and sometimes, transfer learning from pretrained parameters on ImageNet models is also adopted. However, there is no universally accepted medical im...
Humans Image Processing, Computer-Assisted Diagnostic Imaging Databases, Factual Deep Learning ROC Curve
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EAAC-Net: An Efficient Adaptive Attention and Convolution Fusion Network for Skin Lesion Segmentation.

Journal of imaging informatics in medicine Aug 15, 2024
Accurate segmentation of skin lesions in dermoscopic images is of key importance for quantitative analysis of melanoma. Although existing medical image segmentation methods significantly improve skin lesion segmentation, they still have limitations i...
Humans Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Melanoma Skin Neoplasms Neural Networks, Computer Dermoscopy Algorithms
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Predictive Study of Machine Learning-Based Multiparametric MRI Radiomics Nomogram for Perineural Invasion in Rectal Cancer: A Pilot Study.

Journal of imaging informatics in medicine Aug 15, 2024
This study aimed to establish and validate the efficacy of a nomogram model, synthesized through the integration of multi-parametric magnetic resonance radiomics and clinical risk factors, for forecasting perineural invasion in rectal cancer. We retr...
Humans Adult Neoplasm Invasiveness Machine Learning Radiomics Rectal Neoplasms Retrospective Studies Male Middle Aged Multiparametric Magnetic Resonance Imaging Pilot Projects Female Nomograms Aged
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