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Radiology

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Artificial intelligence-based graded training of pulmonary nodules for junior radiology residents and medical imaging students.

BMC medical education
BACKGROUND: To evaluate the efficiency of artificial intelligence (AI)-assisted diagnosis system in the pulmonary nodule detection and diagnosis training of junior radiology residents and medical imaging students.

ChatGPT and assistive AI in structured radiology reporting: A systematic review.

Current problems in diagnostic radiology
INTRODUCTION: The rise of transformer-based large language models (LLMs), such as ChatGPT, has captured global attention with recent advancements in artificial intelligence (AI). ChatGPT demonstrates growing potential in structured radiology reportin...

Investing in Artificial Intelligence and Digital Health-What Radiology Innovators Need to Know.

Journal of the American College of Radiology : JACR
Expected to grow at a 5.5% compound annual growth rate and reach a market of $34.6 billion by 2028, the diagnostic radiology market is an innovation powerhouse, in significant part due to artificial intelligence and digital products. Many radiologist...

Multi-Grained Radiology Report Generation With Sentence-Level Image-Language Contrastive Learning.

IEEE transactions on medical imaging
The automatic generation of accurate radiology reports is of great clinical importance and has drawn growing research interest. However, it is still a challenging task due to the imbalance between normal and abnormal descriptions and the multi-senten...

The Impact of an Artificial Intelligence Certificate Program on Radiology Resident Education.

Academic radiology
RATIONALE AND OBJECTIVES: The objective of this study was to evaluate the effectiveness of a pilot artificial intelligence (AI) certificate program in aiding radiology trainees to develop an understanding of the evolving role and application of artif...

Robotics and Radiology.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes

Patient-centered radiology reports with generative artificial intelligence: adding value to radiology reporting.

Scientific reports
The purposes were to assess the efficacy of AI-generated radiology reports in terms of report summary, patient-friendliness, and recommendations and to evaluate the consistent performance of report quality and accuracy, contributing to the advancemen...

[Large language models from OpenAI, Google, Meta, X and Co. : The role of "closed" and "open" models in radiology].

Radiologie (Heidelberg, Germany)
BACKGROUND: In 2023, the release of ChatGPT triggered an artificial intelligence (AI) boom. The underlying large language models (LLM) of the nonprofit organization "OpenAI" are not freely available under open-source licenses, which does not allow on...

Visual Recalibration and Gating Enhancement Network for Radiology Report Generation.

Journal of computational biology : a journal of computational molecular cell biology
Automatic radiology medical report generation is a necessary development of artificial intelligence technology in the health care. This technology serves to aid doctors in producing comprehensive diagnostic reports, alleviating the burdensome workloa...