AIMC Journal:
Academic radiology

Showing 301 to 310 of 317 articles

A Natural Language Processing-based Model to Automate MRI Brain Protocol Selection and Prioritization.

Academic radiology Nov 23, 2016
RATIONALE AND OBJECTIVES: Incorrect imaging protocol selection can contribute to increased healthcare cost and waste. To help healthcare providers improve the quality and safety of medical imaging services, we developed and evaluated three natural la...
Health Priorities Magnetic Resonance Imaging Natural Language Processing Feasibility Studies Patient Selection Brain Diseases Clinical Protocols Male Middle Aged Support Vector Machine Retrospective Studies Female Sensitivity and Specificity Humans Algorithms
View on PubMed DOI

Use of a Machine-learning Method for Predicting Highly Cited Articles Within General Radiology Journals.

Academic radiology Sep 28, 2016
RATIONALE AND OBJECTIVES: This study aimed to assess the performance of a text classification machine-learning model in predicting highly cited articles within the recent radiological literature and to identify the model's most influential article fe...
Bayes Theorem Bibliometrics Humans Publishing Publications Area Under Curve Periodicals as Topic Machine Learning Journal Impact Factor Radiology
View on PubMed DOI

Predicting High Imaging Utilization Based on Initial Radiology Reports: A Feasibility Study of Machine Learning.

Academic radiology Oct 27, 2015
RATIONALE AND OBJECTIVES: Imaging utilization has significantly increased over the last two decades, and is only recently showing signs of moderating. To help healthcare providers identify patients at risk for high imaging utilization, we developed a...
Sensitivity and Specificity Male Support Vector Machine Feasibility Studies Research Report Unnecessary Procedures Machine Learning Tomography, X-Ray Computed Adult Humans Radiography, Abdominal
View on PubMed DOI

Simple and efficient method for region of interest value extraction from picture archiving and communication system viewer with optical character recognition software and macro program.

Academic radiology Aug 12, 2014
RATIONALE AND OBJECTIVES: The objectives are: 1) to introduce a simple and efficient method for extracting region of interest (ROI) values from a Picture Archiving and Communication System (PACS) viewer using optical character recognition (OCR) softw...
Radiology Information Systems Software Vocabulary, Controlled Algorithms Reproducibility of Results Artificial Intelligence Data Mining Sensitivity and Specificity Programming Languages Image Interpretation, Computer-Assisted User-Computer Interface Pattern Recognition, Automated Natural Language Processing
View on PubMed DOI

Enhancing Oncological Surveillance Through Large Language Model-Assisted Analysis: A Comparative Study of GPT-4 and Gemini in Evaluating Oncological Issues From Serial Abdominal CT Scan Reports.

Academic radiology May 1, 2025
RATIONALE AND OBJECTIVES: We aimed to compare the capabilities of two leading large language models (LLMs), GPT-4 and Gemini, in analyzing serial radiology reports, to highlight oncological issues that require further clinical attention.
Large Language Models Radiography, Abdominal Sensitivity and Specificity Reproducibility of Results Male Aged Natural Language Processing Humans Adult Middle Aged Radiology Information Systems Tomography, X-Ray Computed Abdominal Neoplasms Female
View on PubMed DOI

Impact of ChatGPT and Large Language Models on Radiology Education: Association of Academic Radiology-Radiology Research Alliance Task Force White Paper.

Academic radiology May 1, 2025
Generative artificial intelligence, including large language models (LLMs), holds immense potential to enhance healthcare, medical education, and health research. Recognizing the transformative opportunities and potential risks afforded by LLMs, the ...
Humans Artificial Intelligence Language Advisory Committees Radiology Generative Artificial Intelligence Large Language Models Curriculum United States
View on PubMed DOI

A "Bumper-Car" Curriculum for Teaching Deep Learning to Radiology Residents.

Academic radiology May 1, 2022
RATIONALE AND OBJECTIVES: Our goal was to create an artificial intelligence (AI) training curriculum for residents that taught them to create, train, evaluate and refine deep learning (DL) models. Hands-on training of models was emphasized and didact...
Internship and Residency Automobiles Radiology Curriculum Humans Artificial Intelligence Deep Learning
View on PubMed DOI

Augmented Radiologist Workflow Improves Report Value and Saves Time: A Potential Model for Implementation of Artificial Intelligence.

Academic radiology Jan 1, 2020
RATIONALE AND OBJECTIVES: Our primary aim was to improve radiology reports by increasing concordance of target lesion measurements with oncology records using radiology preprocessors (RP). Faster notification of incidental actionable findings to refe...
Prospective Studies Radiology Radiologists Humans Artificial Intelligence Workflow
View on PubMed DOI

Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics.

Academic radiology Jan 1, 2020
OBJECTIVES: Noise, commonly encountered on computed tomography (CT) images, can impact diagnostic accuracy. To reduce the image noise, we developed a deep-learning reconstruction (DLR) method that integrates deep convolutional neural networks into im...
Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Algorithms Tomography, X-Ray Computed Phantoms, Imaging Tomography Scanners, X-Ray Computed
View on PubMed DOI

How the FDA Regulates AI.

Academic radiology Jan 1, 2020
Recent years have seen digital technologies increasingly leveraged to multiply conventional imaging modalities' diagnostic power. Artificial intelligence (AI) is most prominent among these in the radiology space, touted as the "stethoscope of the 21s...
Radiology Workflow United States Food and Drug Administration Artificial Intelligence Patient Safety United States Humans
View on PubMed DOI
Popular Topics
Popular Journals