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Showing 1030-1050 of 16,010 articles

Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images.

The most dangerous form of cancer is breast cancer. This disease is life-threatening because of its ...

Apr 2025 PMID: 40253418

World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography.

Deep learning-based medical image segmentation and surface mesh generation typically involve a seque...

Apr 2025 PMID: 40318517

Prediction of early recurrence in primary central nervous system lymphoma based on multimodal MRI-based radiomics: A preliminary study.

OBJECTIVES: To evaluate the role of multimodal magnetic resonance imaging radiomics features in pred...

Apr 2025 PMID: 40311274

Machine Learning-Based Diagnostic Prediction Model Using T1-Weighted Striatal Magnetic Resonance Imaging for Early-Stage Parkinson's Disease Detection.

RATIONALE AND OBJECTIVES: Diagnosing Parkinson's disease (PD) typically relies on clinical evaluatio...

Apr 2025 PMID: 40253220

Prediction of mammographic breast density based on clinical breast ultrasound images using deep learning: a retrospective analysis.

BACKGROUND: Breast density, as derived from mammographic images and defined by the Breast Imaging Re...

Apr 2025 PMID: 40290129

Deep learning model based on ultrasound images predicts BRAF V600E mutation in papillary thyroid carcinoma.

BRAF V600E mutation status detection facilitates prognosis prediction in papillary thyroid carcinoma...

Apr 2025 PMID: 40395668

A systematic literature review: exploring the challenges of ensemble model for medical imaging.

BACKGROUND: Medical imaging has been essential and has provided clinicians with useful information a...

Apr 2025 PMID: 40251529

Tailored self-supervised pretraining improves brain MRI diagnostic models.

Self-supervised learning has shown potential in enhancing deep learning methods, yet its application...

Apr 2025 PMID: 40252479

Quality improvement project: Patient-centered breast imaging letters.

PURPOSE: Assess patient-centered revisions to our institution's screening mammography letters for BI...

Apr 2025 PMID: 40295150

Performance of GPT-4 Turbo and GPT-4o in Korean Society of Radiology In-Training Examinations.

OBJECTIVE: Despite the potential of large language models for radiology training, their ability to h...

Apr 2025 PMID: 40288896

Deep Learning-Driven Abbreviated Shoulder MRI Protocols: Diagnostic Accuracy in Clinical Practice.

BACKGROUND: Deep learning (DL) reconstruction techniques have shown promise in reducing MRI acquisit...

Apr 2025 PMID: 40278715

Feasibility of U-Net model for cerebral arteries segmentation with low-dose computed tomography angiographic images with pre-processing methods.

Subtraction computed tomography angiography (sCTA) can effectively separate enhanced cerebral arteri...

Apr 2025 PMID: 40247104

Development of a GPT-4-Powered Virtual Simulated Patient and Communication Training Platform for Medical Students to Practice Discussing Abnormal Mammogram Results With Patients: Multiphase Study.

BACKGROUND: Standardized patients (SPs) prepare medical students for difficult conversations with pa...

Apr 2025 PMID: 40246299

Enhancing Physician-Patient Communication in Oncology Using GPT-4 Through Simplified Radiology Reports: Multicenter Quantitative Study.

BACKGROUND: Effective physician-patient communication is essential in clinical practice, especially ...

Apr 2025 PMID: 40245397

Sensitivity of a deep-learning-based breast cancer risk prediction model.

When it comes to the implementation of deep-learning based breast cancer risk (BCR) prediction model...

Apr 2025 PMID: 40194545

Enhancing Specificity in Predicting Axillary Lymph Node Metastasis in Breast Cancer through an Interpretable Machine Learning Model with CEM and Ultrasound Integration.

IntroductionThe study aims to evaluate the performance of an interpretable machine learning model in...

Apr 2025 PMID: 40241520

An Ultrasound-based Machine Learning Model for Predicting Tumor-Infiltrating Lymphocytes in Breast Cancer.

IntroductionTumor-infiltrating lymphocytes (TILs) are key indicators of immune response and prognosi...

Apr 2025 PMID: 40241518

Prediction of Tumor Budding Grading in Rectal Cancer Using a Multiparametric MRI Radiomics Combined with a 3D Vision Transformer Deep Learning Approach.

RATIONALE AND OBJECTIVES: The objective is to assess the effectiveness of a multiparametric MRI radi...

Apr 2025 PMID: 40246672

Browse Specialties

Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images.

World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography.

Prediction of early recurrence in primary central nervous system lymphoma based on multimodal MRI-based radiomics: A preliminary study.

Machine Learning-Based Diagnostic Prediction Model Using T1-Weighted Striatal Magnetic Resonance Imaging for Early-Stage Parkinson's Disease Detection.

Prediction of mammographic breast density based on clinical breast ultrasound images using deep learning: a retrospective analysis.

Deep learning model based on ultrasound images predicts BRAF V600E mutation in papillary thyroid carcinoma.

A systematic literature review: exploring the challenges of ensemble model for medical imaging.

Tailored self-supervised pretraining improves brain MRI diagnostic models.

Quality improvement project: Patient-centered breast imaging letters.

Performance of GPT-4 Turbo and GPT-4o in Korean Society of Radiology In-Training Examinations.

Deep Learning-Driven Abbreviated Shoulder MRI Protocols: Diagnostic Accuracy in Clinical Practice.

Feasibility of U-Net model for cerebral arteries segmentation with low-dose computed tomography angiographic images with pre-processing methods.

Development of a GPT-4-Powered Virtual Simulated Patient and Communication Training Platform for Medical Students to Practice Discussing Abnormal Mammogram Results With Patients: Multiphase Study.

Enhancing Physician-Patient Communication in Oncology Using GPT-4 Through Simplified Radiology Reports: Multicenter Quantitative Study.

Sensitivity of a deep-learning-based breast cancer risk prediction model.

Enhancing Specificity in Predicting Axillary Lymph Node Metastasis in Breast Cancer through an Interpretable Machine Learning Model with CEM and Ultrasound Integration.

An Ultrasound-based Machine Learning Model for Predicting Tumor-Infiltrating Lymphocytes in Breast Cancer.

Prediction of Tumor Budding Grading in Rectal Cancer Using a Multiparametric MRI Radiomics Combined with a 3D Vision Transformer Deep Learning Approach.

Assessment of AI-accelerated T2-weighted brain MRI, based on clinical ratings and image quality evaluation.

Quantitative Ischemic Lesions of Portable Low-Field Strength MRI Using Deep Learning-Based Super-Resolution.

Use of Artificial Intelligence on Imaging and Preoperatory Planning of the Knee Joint: A Scoping Review.

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