Artificial intelligence (AI) has permeated various industries, showing its transformative potential to solve complex problems and streamline processes. Healthcare is no exception to this trend. With the integration of AI, healthcare practices are experiencing unprecedented advances, ultimately leading to better care and outcomes for patients. The development of chatbots in the healthcare industry is one such AI-driven breakthrough. These digital assistants aid healthcare workers in workload management and enhance patient care.

What is ChatGPT and how has it evolved? To fully appreciate the potential of ChatGPT in healthcare, it is essential to understand its origins and the technology behind it. Its predecessor, GPT-3, laid the foundation for ChatGPT. GPT-3, or the third iteration of this pre-training generative transformer, has garnered attention thanks to its ability to produce coherent and contextually relevant text. Building on the success of GPT-3 and using what Open AI called "GPT 3.5", ChatGPT further enhances these capabilities, providing more accurate and conversational responses. The mix of transformer algorithms and machine learning strategies is the key to ChatGPT's success. Transformer algorithms allow AI to process and understand the context within a given text. At the same time, machine learning allows you to learn from vast amounts of data and improve over time. This powerful combination makes ChatGPT an increasingly powerful and adaptable AI tool.