AIMC Topic: Humans

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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...
Image Processing, Computer-Assisted Diagnostic Imaging Databases, Factual Deep Learning ROC Curve Humans
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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...
Image Interpretation, Computer-Assisted Skin Neoplasms Dermoscopy Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Melanoma
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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 Machine Learning Adult Radiomics Male Middle Aged Retrospective Studies Female Aged Rectal Neoplasms Multiparametric Magnetic Resonance Imaging Pilot Projects Nomograms Neoplasm Invasiveness
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Deep Learning-Based Prediction of Post-treatment Survival in Hepatocellular Carcinoma Patients Using Pre-treatment CT Images and Clinical Data.

Journal of imaging informatics in medicine Aug 15, 2024
The objective of this study was to develop and evaluate a model for predicting post-treatment survival in hepatocellular carcinoma (HCC) patients using their CT images and clinical information, including various treatment information. We collected pr...
Liver Neoplasms Carcinoma, Hepatocellular Neural Networks, Computer Male Prognosis Tomography, X-Ray Computed Middle Aged Female Deep Learning Aged Adult Humans
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Distinguishing neonatal culture-negative sepsis from rule-out sepsis with artificial intelligence-derived graphs.

Pediatric research Aug 15, 2024
Novel artificial intelligence methods can aide in identification of cases of conditions using only unstructured electronic health record data. This graph-based method compares comprehensive electronic health records among neonates using temporal data...
Humans Artificial Intelligence Electronic Health Records Blood Culture Female Neonatal Sepsis Infant, Newborn Sepsis
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Deep Convolutional Neural Network for Automated Staging of Periodontal Bone Loss Severity on Bite-wing Radiographs: An Eigen-CAM Explainability Mapping Approach.

Journal of imaging informatics in medicine Aug 15, 2024
Periodontal disease is a significant global oral health problem. Radiographic staging is critical in determining periodontitis severity and treatment requirements. This study aims to automatically stage periodontal bone loss using a deep learning app...
Convolutional Neural Networks Alveolar Bone Loss Neural Networks, Computer Humans Female Severity of Illness Index Adult Deep Learning Male Middle Aged
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Machine Learning-based Nomograms for Predicting Clinical Stages of Initial Prostate Cancer: A Multicenter Retrospective Study.

Urology Aug 15, 2024
OBJECTIVE: To construct and externally validate machine learning-based nomograms for predicting progression stages of initial prostate cancer (PCa) using biomarkers and clinicopathologic features.
Middle Aged Retrospective Studies Humans Prostatic Neoplasms Disease Progression Machine Learning Aged Algorithms Male Nomograms Neoplasm Staging Neoplasm Grading
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Bridging the Gap: Can Large Language Models Match Human Expertise in Writing Neurosurgical Operative Notes?

World neurosurgery Aug 15, 2024
BACKGROUND: Proper documentation is essential for patient care. The popularity of artificial intelligence (AI) offers the potential for improvements in neurosurgical note-writing. This study aimed to assess how AI can optimize documentation in neuros...
Language Neurosurgery Humans Clinical Competence Documentation Neurosurgical Procedures Artificial Intelligence Neurosurgeons Writing
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Effect of deep learning reconstruction on the assessment of pancreatic cystic lesions using computed tomography.

Radiological physics and technology Aug 15, 2024
This study aimed to compare the image quality and detection performance of pancreatic cystic lesions between computed tomography (CT) images reconstructed by deep learning reconstruction (DLR) and filtered back projection (FBP). This retrospective st...
Image Processing, Computer-Assisted Signal-To-Noise Ratio Pancreatic Cyst Male Middle Aged Deep Learning Female Aged Aged, 80 and over Humans Retrospective Studies Tomography, X-Ray Computed
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An accurate paradigm for denoising degraded ultrasound images based on artificial intelligence systems.

Microscopy research and technique Aug 15, 2024
Ultrasound images are susceptible to various forms of quality degradation that negatively impact diagnosis. Common degradations include speckle noise, Gaussian noise, salt and pepper noise, and blurring. This research proposes an accurate ultrasound ...
Humans Ultrasonography Image Processing, Computer-Assisted Neural Networks, Computer Support Vector Machine Artificial Intelligence Signal-To-Noise Ratio Algorithms
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