AIMC Topic: Diagnosis, Differential

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Differentiation Between Glioblastoma and Metastatic Disease on Conventional MRI Imaging Using 3D-Convolutional Neural Networks: Model Development and Validation.

Academic radiology Nov 17, 2023
RATIONALE AND OBJECTIVES: Imaging-based differentiation between glioblastoma (GB) and brain metastases (BM) remains challenging. Our aim was to evaluate the performance of 3D-convolutional neural networks (CNN) to address this binary classification p...
Middle Aged Imaging, Three-Dimensional Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Diagnosis, Differential Humans Glioblastoma Aged Adult Neural Networks, Computer Brain Neoplasms Female Male Reproducibility of Results
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Editorial for "Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures".

Journal of magnetic resonance imaging : JMRI Nov 16, 2023
Humans Deep Learning Magnetic Resonance Imaging Brain Radiomics Diagnosis, Differential Brain Neoplasms Glioblastoma
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Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures.

Journal of magnetic resonance imaging : JMRI Nov 13, 2023
BACKGROUND: Studies have shown that deep-learning radiomics (DLR) could help differentiate glioblastoma (GBM) from solitary brain metastasis (SBM), but whether integrating demographic-MRI and DLR features can more accurately distinguish GBM from SBM ...
Glioblastoma Brain Neoplasms Male Middle Aged Magnetic Resonance Imaging Diagnosis, Differential Deep Learning Nomograms Female Aged Adult Radiomics Humans Brain Retrospective Studies
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Editorial for "A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI".

Journal of magnetic resonance imaging : JMRI Nov 10, 2023
Female Breast Neoplasms Radiomics Magnetic Resonance Imaging Humans Machine Learning Diffusion Magnetic Resonance Imaging Diagnosis, Differential Breast Image Interpretation, Computer-Assisted
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Echocardiography-Based Deep Learning Model to Differentiate Constrictive Pericarditis and Restrictive Cardiomyopathy.

JACC. Cardiovascular imaging Nov 8, 2023
BACKGROUND: Constrictive pericarditis (CP) is an uncommon but reversible cause of diastolic heart failure if appropriately identified and treated. However, its diagnosis remains a challenge for clinicians. Artificial intelligence may enhance the iden...
Humans Artificial Intelligence Female Predictive Value of Tests Echocardiography Cardiomyopathy, Restrictive Middle Aged Pericarditis, Constrictive Aged Deep Learning Aged, 80 and over Diagnosis, Differential Male
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A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI.

Journal of magnetic resonance imaging : JMRI Nov 7, 2023
BACKGROUND: Breast MRI has been recommended as supplemental screening tool to mammography and breast ultrasound of breast cancer by international guidelines, but its long examination time and use of contrast material remains concerning.
Adult Breast Neoplasms Radiomics Area Under Curve Prospective Studies Middle Aged Breast Retrospective Studies Image Interpretation, Computer-Assisted Female Humans Diffusion Magnetic Resonance Imaging Reproducibility of Results Machine Learning Contrast Media Aged Magnetic Resonance Imaging Diagnosis, Differential
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Differentiating adrenal metastases from benign lesions with multiphase CT imaging: Deep learning could play an active role in assisting radiologists.

European journal of radiology Nov 7, 2023
OBJECTIVES: To develop and externally validate multiphase CT-based deep learning (DL) models for differentiating adrenal metastases from benign lesions.
Humans Adrenal Gland Neoplasms Retrospective Studies Deep Learning Radiologists Tomography, X-Ray Computed Diagnosis, Differential
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Deep learning models of ultrasonography significantly improved the differential diagnosis performance for superficial soft-tissue masses: a retrospective multicenter study.

BMC medicine Oct 26, 2023
BACKGROUND: Most of superficial soft-tissue masses are benign tumors, and very few are malignant tumors. However, persistent growth, of both benign and malignant tumors, can be painful and even life-threatening. It is necessary to improve the differe...
Humans Ultrasonography Diagnosis, Differential Retrospective Studies Soft Tissue Neoplasms Sensitivity and Specificity Deep Learning
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The Histological Detection of Ulcerative Colitis Using a No-Code Artificial Intelligence Model.

International journal of surgical pathology Oct 25, 2023
Ulcerative colitis (UC) is an intractable disease that affects young adults. Histological findings are essential for its diagnosis; however, the number of diagnostic pathologists is limited. Herein, we used a no-code artificial intelligence (AI) plat...
Colitis, Ulcerative Humans Diagnosis, Differential Artificial Intelligence Adult Image Interpretation, Computer-Assisted Middle Aged Female Colon Male Young Adult Adenocarcinoma
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Automatic detection and differential diagnosis of age-related macular degeneration from color fundus photographs using deep learning with hierarchical vision transformer.

Computers in biology and medicine Oct 25, 2023
Age-related macular degeneration (AMD) is a leading cause of vision loss in the elderly, highlighting the need for early and accurate detection. In this study, we proposed DeepDrAMD, a hierarchical vision transformer-based deep learning model that in...
Diagnosis, Differential Photography Humans Macular Degeneration Diagnostic Techniques, Ophthalmological Aged Deep Learning
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