AIMC Journal:
Academic radiology

Showing 181 to 190 of 317 articles

Potential Applications and Impact of ChatGPT in Radiology.

Academic radiology Oct 5, 2023
Radiology has always gone hand-in-hand with technology and artificial intelligence (AI) is not new to the field. While various AI devices and algorithms have already been integrated in the daily clinical practice of radiology, with applications rangi...
Radiologists Algorithms Radiography Radiology Humans Artificial Intelligence
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Development and Validation of a Deep Learning Radiomics Model to Predict High-Risk Pathologic Pulmonary Nodules Using Preoperative Computed Tomography.

Academic radiology Oct 5, 2023
RATIONALE AND OBJECTIVES: To accurately identify the high-risk pathological factors of pulmonary nodules, our study constructed a model combined with clinical features, radiomics features, and deep transfer learning features to predict high-risk path...
Multiple Pulmonary Nodules Humans Adenocarcinoma of Lung Tomography, X-Ray Computed Retrospective Studies Deep Learning Lung Neoplasms Radiomics
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Test Retest Reproducibility of Organ Volume Measurements in ADPKD Using 3D Multimodality Deep Learning.

Academic radiology Oct 3, 2023
RATIONALE AND OBJECTIVES: Following autosomal dominant polycystic kidney disease (ADPKD) progression by measuring organ volumes requires low measurement variability. The objective of this study is to reduce organ volume measurement variability on MRI...
Humans Magnetic Resonance Imaging Organ Size Polycystic Kidney, Autosomal Dominant Deep Learning Kidney Reproducibility of Results
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Machine Learning Models for Brain Arteriovenous Malformations Presenting with Hemorrhage Based on Clinical and Angioarchitectural Characteristics.

Academic radiology Sep 30, 2023
RATIONALE AND OBJECTIVES: This study aims to develop the best diagnostic model for brain arteriovenous malformations (bAVMs) rupture by using machine learning (ML) algorithms.
Female Humans Male Cerebral Hemorrhage Middle Aged Machine Learning Algorithms Cerebral Angiography Risk Factors Intracranial Arteriovenous Malformations Retrospective Studies Adult
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A Combined Model Integrating Radiomics and Deep Learning Based on Contrast-Enhanced CT for Preoperative Staging of Laryngeal Carcinoma.

Academic radiology Sep 28, 2023
RATIONALE AND OBJECTIVES: Accurate staging of laryngeal carcinoma can inform appropriate treatment decision-making. We developed a radiomics model, a deep learning (DL) model, and a combined model (incorporating radiomics features and DL features) ba...
Humans Retrospective Studies Deep Learning Area Under Curve Tomography, X-Ray Computed Radiologists Carcinoma
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Development and Validation of a Deep Learning and Radiomics Combined Model for Differentiating Complicated From Uncomplicated Acute Appendicitis.

Academic radiology Sep 27, 2023
RATIONALE AND OBJECTIVES: This study aimed to develop and validate a deep learning and radiomics combined model for differentiating complicated from uncomplicated acute appendicitis (AA).
Radiomics Deep Learning Acute Disease Appendicitis Area Under Curve Retrospective Studies Humans Adult
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Combining Deep Learning and Radiomics for Automated, Objective, Comprehensive Bone Mineral Density Assessment From Low-Dose Chest Computed Tomography.

Academic radiology Sep 19, 2023
RATIONALE AND OBJECTIVES: To develop an intelligent diagnostic model for osteoporosis screening based on low-dose chest computed tomography (LDCT). The model incorporates automatic deep-learning thoracic vertebrae of cancellous bone (TVCB) segmentati...
Radiomics Deep Learning Retrospective Studies Humans Osteoporosis Bone Density Tomography, X-Ray Computed
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Assessing AI-Powered Patient Education: A Case Study in Radiology.

Academic radiology Sep 14, 2023
RATIONALE AND OBJECTIVES: With recent advancements in the power and accessibility of artificial intelligence (AI) Large Language Models (LLMs) patients might increasingly turn to these platforms to answer questions regarding radiologic examinations a...
Patient Education as Topic Radiography Radiology Artificial Intelligence Reproducibility of Results Humans
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Distilling Knowledge From an Ensemble of Vision Transformers for Improved Classification of Breast Ultrasound.

Academic radiology Sep 2, 2023
RATIONALE AND OBJECTIVES: To develop a deep learning model for the automated classification of breast ultrasound images as benign or malignant. More specifically, the application of vision transformers, ensemble learning, and knowledge distillation i...
Humans Neural Networks, Computer Area Under Curve Biopsy Ultrasonography, Mammary Female ROC Curve
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Deep Learning Radiomics Nomogram Based on Magnetic Resonance Imaging for Differentiating Type I/II Epithelial Ovarian Cancer.

Academic radiology Aug 27, 2023
RATIONALE AND OBJECTIVES: To develop and validate a T2-weighted magnetic resonance imaging (MRI)-based deep learning radiomics nomogram (DLRN) to differentiate between type I and type II epithelial ovarian cancer (EOC).
Carcinoma, Ovarian Epithelial Radiomics Diagnosis, Differential Nomograms Ovarian Neoplasms Deep Learning Middle Aged Humans Magnetic Resonance Imaging Aged Retrospective Studies Female Adult
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