Chat Generative Pretrained Transformer to optimize accessibility for cataract surgery postoperative management

Abstract

Abstract Cataract surgery is one of the most common surgeries (over 3 million cases) in the United States per year. Consequently, there are multiple diverse and unique postoperative questions in the postoperative course following cataract extraction. To provide rapid and accessible guidance, large language models may help optimize this area in cataract surgery. Chat Generative Pretrained Transformer (GPT) is a complex conversational artificial intelligence model built by OpenAI and trained using an extensive collection of textual data sourced from the internet. The utilization of ChatGPT has a significant potential for diverse applications within various academic disciplines. In the field of medicine, it has the potential to aid health-care professionals, researchers, and patients through a variety of ways. We describe the use of ChatGPT to respond to common postoperative questions associated with cataract extraction. Although further research is required before more widespread acceptance and clinical implementation, we believe that GPT-4 has the potential to improve cataract and refractive postoperative care by providing immediate and accurate responses to patient queries.

Ähnliche Arbeiten