Generative AI models for chest X-ray reporting show potential for quality assurance and diagnostic support

Investigational generative AI models for chest X-rays may improve diagnostic accuracy, streamline AI development, and strengthen radiology quality assurance, though most remain research-stage only.

• Article describes emerging use of generative AI for radiology reporting and quality improvement; specific quantitative performance metrics not reported in source.
• Applications discussed include report generation, AI development acceleration, and quality assurance workflows.
• Primary limitation: technology remains investigational in most practices; no prospective or external validation data cited.

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