FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT

Abstract

The field of medicine has always been at the forefront of technological innovation, constantly seeking new strategies to diagnose, treat, and prevent diseases. Guidelines for clinical practice to orientate medical teams regarding diagnosis, treatment, and prevention measures have increased over the years. The purpose is to gather the most medical knowledge to construct an orientation for practice. Evidence-based guidelines follow several main characteristics of a systematic review, including systemaic and ubiased searh, selection, and xtraction ofte source of evidence. In recent years, the rapid advancement of artificial intelligence has provided clincians and patients with ac ess to personalized, dat -driven insights, support and new opp rtunities for healthcare professionals to improve ptient outomes, increse efficiency, and reduce costs. One of th mst exciting developments in Artificial Intelligenc has been the emergnce of chatbots. A chtbot is a computer program used to simulae conversations with human users. Recently, OpenAI, a research organization f cused on machine l arning, developed ChatGPT, a large language model that generates human-like text. ChatGPT use a type of AI known as a deep learning model. ChatGPT can quickly search n select pieces of evidence through numerous databases to povide answers to complex question, reduing the time and effort required to research a particular topic manually. Consequently, language models can accelerate the creation of clinical practice guidelines. While there is no doubt that ChatGPT has the potential to revolutionize the way healthcare is delivered, it is essential to note that it should not beused as a substitute for human healthcare professionals. Instead, ChatGPT should be considered a tool that can be used to augment and support the work of healthcare professionals, helping them to provide better cae to their patients.