Diagnostic imaging reports are generally written with a target audience of other providers.
As a result, the reports are written with medical jargon and technical detail to ensure …

This paper investigates the application of Large Language Models (LLMs), specifically
OpenAI's ChatGPT3. 5, ChatGPT4. 0, Google Bard, and Microsoft Bing, in simplifying …

Background The complex medical terminology of radiology reports may cause confusion or
anxiety for patients, especially given increased access to electronic health records. Large …

The field of patient engagement in radiology is evolving and offers ample opportunities for
neuroradiologists to become involved. The patient journey can serve as a model that …

Purpose AI-image interpretation, through convolutional neural networks, shows increasing
capability within radiology. These models have achieved impressive performance in specific …

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 …

The 21st Century Cures Act mandated immediate patient access to radiology reports [1].
This occurred amidst initiatives promoting patientcentered radiology, including ACR's …

The 21st Century Cures Act (Cures Act), which became law in 2016, includes an information-
blocking rule mandating the release of electronic health records to patients, providers, and …

The ACR Appropriateness Criteria®(AC) are evidence-based guidelines for the use of
diagnostic imaging tests and image-guided interventions. The documents are created by …

Objective Patients increasingly have access to their radiology reports. This systematic
review examined the opinions of patients, referring physicians, and radiologists over time on …