Artificial Intelligence (AI) Chatbots in Medicine: A Supplement, Not a Substitute

  • Altamimi I
  • Altamimi A
  • Alhumimidi A
  • et al.
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Abstract

This editorial discusses the role of artificial intelligence (AI) chatbots in the healthcare sector, emphasizing their potential as supplements rather than substitutes for medical professionals. While AI chatbots have demonstrated significant potential in managing routine tasks, processing vast amounts of data, and aiding in patient education, they still lack the empathy, intuition, and experience intrinsic to human healthcare providers. Furthermore, the deployment of AI in medicine brings forth ethical and legal considerations that require robust regulatory measures. As we move towards the future, the editorial underscores the importance of a collaborative model, wherein AI chatbots and medical professionals work together to optimize patient outcomes. Despite the potential for AI advancements, the likelihood of chatbots completely replacing medical professionals remains low, as the complexity of healthcare necessitates human involvement. The ultimate aim should be to use technology like AI chatbots to enhance patient care and outcomes, not to replace the irreplaceable human elements of healthcare. Editorial The intersection of artificial intelligence (AI) and healthcare has been a hotbed for innovative exploration. One area of particular interest is the use of AI chatbots, which have demonstrated promising potential as health advisors, initial triage tools, and mental health companions [1]. However, the future of these AI chatbots in relation to medical professionals is a topic that elicits diverse opinions and predictions [2-3]. The paper, "Will AI Chatbots Replace Medical Professionals in the Future?" delves into this discourse, challenging us to consider the balance between the advancements in AI and the irreplaceable human aspects of medical care [2]. The rise of AI chatbots in healthcare AI chatbots are playing an increasingly transformative role in the delivery of healthcare services. Their ability to process vast amounts of data and detect patterns and trends far beyond human capability makes them ideal for managing routine tasks such as scheduling appointments, sending medication reminders, and providing general health information. By handling these responsibilities, chatbots alleviate the load on healthcare systems, allowing medical professionals to focus more on complex care tasks. The rapid growth and adoption of AI chatbots in the healthcare sector is exemplified by ChatGPT. Within a mere five days of its launch, ChatGPT amassed an impressive one million users, and its user base expanded to 100 million users in just two months [4]. A study conducted six months ago on the use of AI chatbots among healthcare workers found that nearly 20 percent of them utilized ChatGPT [5]. This percentage could be even higher now, given the increasing reliance on AI chatbots in healthcare. The swift adoption of ChatGPT and similar technologies highlights the growing importance and impact of AI chatbots in transforming healthcare services and enhancing patient care. As AI chatbots continue to evolve and improve, they are expected to play an even more significant role in healthcare, further streamlining processes and optimizing resource allocation. Limitations of AI chatbots While AI chatbots offer many benefits, it is critical to understand their limitations. Currently, AI lacks the capacity to demonstrate empathy, intuition, and the years of experience that medical professionals bring to the table [6]. These human traits are invaluable in effective patient care, especially when nuanced language interpretation and non-verbal cues come into play. AI chatbots are limited to operating on pre-set data and algorithms; the quality of their recommendations is only as good as the data fed into them, and any 1 2 1 3 4

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Altamimi, I., Altamimi, A., Alhumimidi, A. S., Altamimi, A., & Temsah, M.-H. (2023). Artificial Intelligence (AI) Chatbots in Medicine: A Supplement, Not a Substitute. Cureus. https://doi.org/10.7759/cureus.40922

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