AI Medical Compendium Journal:
Journal of vascular and interventional radiology : JVIR

Showing 1 to 10 of 27 articles

Proof-of-Concept Prompted Large Language Model for Radiology Procedure Request Routing.

Journal of vascular and interventional radiology : JVIR Mar 24, 2025
PURPOSE: To measure the accuracy and cost of a proof-of-concept prompted large language model to route procedure requests to the appropriate phone number or pager at a single large academic hospital.
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Robot-Assisted CT-Guided Biopsy with an Artificial Intelligence-Based Needle-Path Generator: An Experimental Evaluation Using a Phantom Model.

Journal of vascular and interventional radiology : JVIR Jan 21, 2025
PURPOSE: To investigate the feasibility of a robotic system with artificial intelligence-based lesion detection and path planning for computed tomography (CT)-guided biopsy compared with the conventional freehand technique.
Humans Artificial Intelligence Tomography, X-Ray Computed Predictive Value of Tests Feasibility Studies Needles Radiography, Interventional Image-Guided Biopsy Phantoms, Imaging Robotics Equipment Design Robotic Surgical Procedures Radiographic Image Interpretation, Computer-Assisted
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Evaluation of Multilingual Simplifications of IR Procedural Reports Using GPT-4.

Journal of vascular and interventional radiology : JVIR Jan 9, 2025
This study assessed the feasibility of large language models such as GPT-4 (OpenAI, San Francisco, California) to summarize interventional radiology procedural reports to improve layperson understanding and translate medical texts into multiple langu...
Comprehension Humans Multilingualism Translating Language Feasibility Studies Radiography, Interventional
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Utility of a Large Language Model for Extraction of Clinical Findings from Healthcare Data following Lung Ablation: A Feasibility Study.

Journal of vascular and interventional radiology : JVIR Dec 9, 2024
To assess the feasibility of utilizing a large language model (LLM) in extracting clinically relevant information from healthcare data in patients who have undergone microwave ablation for lung tumors. In this single-center retrospective study, radio...
Predictive Value of Tests Natural Language Processing Feasibility Studies Neoplasm Recurrence, Local Middle Aged Time Factors Lung Neoplasms Treatment Outcome Hemothorax Ablation Techniques Pneumothorax Hemoptysis Data Mining Microwaves Recurrence Large Language Models Humans Retrospective Studies Electronic Health Records Female Reproducibility of Results Aged Male
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Artificial Intelligence-Driven Patient Selection for Preoperative Portal Vein Embolization for Patients with Colorectal Cancer Liver Metastases.

Journal of vascular and interventional radiology : JVIR Dec 3, 2024
PURPOSE: To develop a machine learning algorithm to improve hepatic resection selection for patients with metastatic colorectal cancer (CRC) by predicting post-portal vein embolization (PVE) outcomes.
Humans Embolization, Therapeutic Female Portal Vein Colorectal Neoplasms Reproducibility of Results Patient-Specific Modeling Male Aged Liver Regeneration Middle Aged Adult Liver Neoplasms Machine Learning Treatment Outcome Predictive Value of Tests Decision Support Techniques Patient Selection Retrospective Studies Hepatectomy Clinical Decision-Making
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Machine Learning Based on Clinical Information and Integrated CT Radiomics to Predict Local Recurrence of Stage Ia Lung Adenocarcinoma after Microwave Ablation.

Journal of vascular and interventional radiology : JVIR Aug 28, 2024
PURPOSE: To develop and compare 3 different machine learning-based models of clinical information and integrated radiomics features predicting the local recurrence of Stage Ia lung adenocarcinoma after microwave ablation (MWA) for assisting clinical ...
Ablation Techniques Neoplasm Recurrence, Local Microwaves Margins of Excision Adenocarcinoma of Lung Treatment Outcome Predictive Value of Tests Neoplasm Staging Radiographic Image Interpretation, Computer-Assisted Decision Support Techniques Retrospective Studies Tomography, X-Ray Computed Clinical Decision-Making Female Risk Assessment Humans Time Factors Risk Factors Male Machine Learning Lung Neoplasms Aged Middle Aged Radiomics
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Artificial Intelligence-Guided Segmentation and Path Planning Software for Transthoracic Lung Biopsy.

Journal of vascular and interventional radiology : JVIR Feb 12, 2024
PURPOSE: To validate the sensitivity and specificity of a 3-dimensional (3D) convolutional neural network (CNN) artificial intelligence (AI) software for lung lesion detection and to establish concordance between AI-generated needle paths and those u...
Male Middle Aged Lung Deep Learning Lung Neoplasms Predictive Value of Tests Bayes Theorem Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Female Reproducibility of Results Aged Humans Software Retrospective Studies Image-Guided Biopsy Biopsy, Needle
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Comparison of Artificial Intelligence Chatbots for Musculoskeletal Radiology Procedure Patient Education.

Journal of vascular and interventional radiology : JVIR Dec 27, 2023
Humans Artificial Intelligence Patient Education as Topic Radiology, Interventional
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Artificial Intelligence-Aided Selection of Needle Pathways: Proof-of-Concept in Percutaneous Lung Biopsies.

Journal of vascular and interventional radiology : JVIR Nov 24, 2023
PURPOSE: To evaluate the concordance between lung biopsy puncture pathways determined by artificial intelligence (AI) and those determined by expert physicians.
Aged Biopsy, Needle Predictive Value of Tests Humans Male Proof of Concept Study Artificial Intelligence Middle Aged Tomography, X-Ray Computed Radiography, Interventional Algorithms Lung Clinical Decision-Making Image-Guided Biopsy Female Reproducibility of Results
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An Interventional Radiologist's Primer of Critical Appraisal of Artificial Intelligence Research.

Journal of vascular and interventional radiology : JVIR Sep 26, 2023
Recent advances in artificial intelligence (AI) are expected to cause a significant paradigm shift in all digital data-driven aspects of information gain, processing, and decision making in both clinical healthcare and medical research. The field of ...
Artificial Intelligence Algorithms Reproducibility of Results Humans Radiologists Biomedical Research
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