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 systematic and unbiased search, selection, and extraction of the source of evidence. In recent years, the rapid advancement of artificial intelligence has provided clinicians and patients with access to personalized, data-driven insights, support and new opportunities for healthcare professionals to improve patient outcomes, increase efficiency, and reduce costs. One of the most exciting developments in Artificial Intelligence has been the emergence of chatbots. A chatbot is a computer program used to simulate conversations with human users. Recently, OpenAI, a research organization focused on machine learning, developed ChatGPT, a large language model that generates human-like text. ChatGPT uses a type of AI known as a deep learning model. ChatGPT can quickly search and select pieces of evidence through numerous databases to provide answers to complex questions, reducing 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 be used 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 care to their patients.

Role of ChatGPT in health science and research: A correspondence addressing potential application

“…This can help healthcare professionals make more informed decisions and provide better care to their patients. ChatGPT can facilitate telemedicine consultations between patients and healthcare professionals, allowing patients to receive medical care from the comfort of their own homes in a faster and more precise manner by using previous records 8,9 …”

“…ChatGPT can facilitate telemedicine consultations between patients and healthcare professionals, allowing patients to receive medical care from the comfort of their own homes in a faster and more precise manner by using previous records. 8,9 ChatGPT can play a significant role in health research by providing a platform for data collection, analysis, and interpretation. ChatGPT can be used to generate an anonymous database by collecting data from patients without mentioning their identity, healthcare providers, and researchers on various health-related topics, such as medication adherence and disease prevalence.…”

Perspectives of ChatGPT in Pharmacology Education, and Research in Health Care: A Narrative Review

“…The integration of AI tools into domains such as surgical robotics and drug dispensing facilitates enhanced diagnostic accuracy and treatment efficacy through the potential role of ChatGPT in the translation, transcription, and summarization of feedback . 10 ChatGPT, along with other OpenAI tools, makes a notable contribution to enhancing healthcare facilities, particularly in resource-limited settings. When prompted with requests for information about ongoing medication, laboratory samples, arterial blood gas analysis, and hemodynamic and respiratory parameters in random sequence, ChatGPT generates medical notes for patients admitted to the intensive care unit (ICU).…”

“…The integration of AI tools into domains such as surgical robotics and drug dispensing facilitates enhanced diagnostic accuracy and treatment efficacy through the potential role of ChatGPT in the translation, transcription, and summarization of feedback. 10…”

Inovações no treinamento cirúrgico: explorando o papel da inteligência artificial e dos grandes modelos de linguagem (LLM)

“…A IA está desempenhando um papel importante no avanço dos sistemas de realidade virtual (VR) e realidade aumentada (AR), especialmente no campo do treinamento cirúrgico. Essas tecnologias imersivas oferecem cenários de treinamento realistas e interativos, que podem se assemelhar a procedimentos cirúrgicos da vida real [24][25][26] Essa lacuna é significativa, porque a comunicação eficaz é um aspecto crítico do treinamento cirúrgico, e abordála pode levar a melhorias consideráveis na experiência de aprendizado e nos resultados dos treinandos 28,29 .…”