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Page 317                                                             Boyd et al. Art Int Surg 2024;4:316-23  https://dx.doi.org/10.20517/ais.2024.53

               Conclusion: Doximity’s AI platform produces reasonable, accurate information in response to common patient
               queries. With continued reinforcement learning with human feedback (RLHF), Doximity GPT has the potential to
               be a useful tool to plastic surgeons and can assist with a range of tasks, such as providing basic information on
               procedures and writing appeal letters to insurance providers.

               Keywords: Artificial intelligence, natural language processing, ChatGPT, AI, generative AI, plastic surgery, AI
               integration in surgery



               INTRODUCTION
               Artificial intelligence (AI) is positioned to be a disruptive technology for healthcare. Over the past several
               years, AI has demonstrated exponential growth and transitioned from a theoretical idea to a tangible reality.
               This excitement for AI has blossomed within plastic surgery as the literature denotes countless descriptions
                                                                                 [1-4]
               of use cases, potential applications, and discussions of ethical implementation . While the indications for
               AI-powered assistance are innumerable within plastic surgery, natural language processing (NLP) - a form
               of generative AI - is poised to be rapidly integrated into the clinical workflow for plastic surgeons, practice
               managers, and staff. The NLP capabilities of AI allow it to analyze, comprehend, and produce language .
                                                                                                        [5]
               Prior  work  analyzing  an  NLP  program  demonstrated  efficacy  in  generating  medically  sound
               recommendations for common patient inquiries surrounding perioperative surgery for a breast reduction
               procedure . Despite the integrity of medical recommendations, this study highlighted limitations in the
                        [6]
               accessibility of AI-generated outputs with a higher-than-recommended average reading level of content [7-10] .
               Such analyses have been duplicated for a variety of large language models (LLMs) [11-13] .


               Limitations of this prior work include the assessment of LLMs without a specific emphasis or additional
               training in medicine. Doximity has launched a healthcare-specific, Health Insurance Portability and
               Accountability Act (HIPAA)-compliant AI tool. This platform, Doximity GPT, was created to facilitate
               written outputs specifically designed for healthcare, including patient instructions, appeals to insurance
               providers, and educational pamphlets. While backed by the same NLP program as ChatGPT (OpenAI, San
               Francisco, CA), Doximity GPT incorporates additional healthcare-specific training and utilizes
               reinforcement learning with human feedback (RLHF) to improve ChatGPT’s programming.


               As it is being marketed as having specific training in healthcare, one of the aims of this study was to assess
               how this might impact outputs from the LLM. To date, no studies have assessed the product of this
               healthcare-specific NLP program. In this study, we sought to compare the quality and accessibility of
               outputs from Doximity GPT to outputs from a generic NLP program in response to common questions
               about breast augmentation procedures, which are among the most frequently performed procedures in the
                          [14]
               United States .

               METHODS
               The new HIPAA-compliant, healthcare-specific AI platform Doximity GPT (Doximity, San Francisco, CA)
               is readily accessible to physicians. This AI program was compared to the publicly available NLP ChatGPT
               3.5 (OpenAI, San Francisco, CA). Both AI interfaces were accessed in April 2024. A list of 20 frequent
               patient inquiries regarding a breast augmentation procedure was generated. The list was adapted from a
               previously published study, following the clinical experience of the senior authors (N.S.K. and M.C.) and
               their expertise in perioperative management . Breast augmentation was selected as it is one of the most
                                                      [6]
               frequently performed procedures in the United States annually . Inquiries were entered into each of the
                                                                     [14]
               two NLPs in two distinct formats: utilizing a general search term (“breast augmentation driving”) and
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