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Comparing ChatGPT Informed Consent Documentations for Energy-Based Devices.

Lori S Kim1, Susruthi Rajanala2, Jeffrey S Dover2,3

  • 1Department of Dermatology, Boston University School of Medicine, Boston, Massachusetts, USA.

Lasers in Surgery and Medicine
|December 3, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence shows promise for generating dermatology informed consent forms, but human oversight is crucial due to variable quality and occasional inaccuracies. Further research is needed to assess patient impact.

Keywords:
ChatGPTartificial intelligence (AI)clinical documentationenergy‐based devicesinformed consentlarge language models (LLMs)lasers

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Area of Science:

  • Dermatology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Informed consent is crucial in cosmetic dermatology for shared decision-making and patient satisfaction.
  • Manual drafting of consent forms is time-consuming.
  • AI language models offer potential for efficient consent document generation.

Purpose of the Study:

  • To evaluate the quality of AI-generated informed consent forms for dermatologic procedures.
  • To assess the accuracy and completeness of ChatGPT-4 generated consent documents for laser and energy-based devices.

Main Methods:

  • A cross-sectional study utilized ChatGPT-4 to generate consent forms for eight dermatologic devices.
  • Five board-certified dermatologists independently rated the forms using a rubric assessing accuracy and completeness.
  • Mean scores were calculated across procedure descriptions, benefits, risks, alternatives, and overall impression.

Main Results:

  • ChatGPT-generated consent forms exhibited variable quality, with radiofrequency microneedling scoring highest and monopolar radiofrequency devices scoring lowest.
  • Pain expectations and restrictions were generally well-documented, while general descriptions and overall impression were less complete.
  • Inconsistencies in benefits, risks, and occasional inaccuracies were noted across different device consent forms.

Conclusions:

  • ChatGPT demonstrates potential for efficiently generating informed consent documents, especially for procedures like radiofrequency microneedling.
  • Current AI-generated forms have limitations in completeness and accuracy, necessitating dermatologist oversight for clinical use.
  • Further studies are required to evaluate AI's impact on patient comprehension and satisfaction across various clinical settings.