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Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
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Potential Use Cases for ChatGPT in Radiology Reporting.

Asser Abou Elkassem1, Andrew D Smith1

  • 1Department of Radiology, University of Alabama at Birmingham, JTN 452, 619 19th St S, Birmingham, AL 35249-6830.

AJR. American Journal of Roentgenology
|April 25, 2023
PubMed
Summary

Large language models (LLMs) can enhance radiology reports and patient engagement. However, these advanced AI tools require human oversight due to potential errors that could impact patient safety.

Keywords:
ChatGPTartificial intelligencehealth carelarge language modelsradiology reports

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Area of Science:

  • Artificial Intelligence
  • Medical Informatics
  • Natural Language Processing

Background:

  • Large language models (LLMs) are advanced AI capable of understanding human language.
  • LLMs present opportunities to improve healthcare communication and reporting.

Purpose of the Study:

  • To explore the potential applications of LLMs in radiology.
  • To identify benefits and risks of using LLMs in clinical practice.

Main Methods:

  • Review of LLM capabilities in text generation and summarization.
  • Analysis of potential use cases in radiology reporting and patient interaction.

Main Results:

  • LLMs can automate clinical history and impression generation for radiology reports.
  • LLMs can create layperson summaries and patient-specific Q&A for radiology findings.
  • LLMs are prone to errors, necessitating human review to ensure patient safety.

Conclusions:

  • LLMs offer promising tools for enhancing radiology reporting and patient engagement.
  • Careful implementation and human oversight are crucial to mitigate risks associated with LLM use in medicine.