Artificial Intelligence (AI) Chatbots in Medicine: A Supplement, Not a Substitute
Open accessAbstract
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.
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Hallucinations put the whole AI chatbot data output under significant question, especially in implementing and applying AI aid into clinical practice.
“As such, hallucinations put the whole AI chatbot data output under significant question, especially in implementing and applying AI aid into clinical practice [44,45].”
From Reference Hallucination Score for Medical Artificial Intelligence Chatbots: Development and Usability Study (2024) · cites this paper as [45]
The Editorial’s “Limitations of AI chatbots” section says substandard or biased data can produce harmful outputs, and “Ethical and legal considerations” discusses AI decision-making errors and safeguards for clinical use. These passages support concern about relying on chatbot outputs in healthcare, but they do not identify hallucinations as the cause or call the whole of chatbot output into question. (LLM, conf=0.83)
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- Authors
- Altamimi, I., Altamimi, A., Alhumimidi, A. S., Altamimi, A., & Temsah, M.-H.
- Affiliations
- King Saud bin Abdulaziz University for Health Sciences (SA)
- Corresponding author
- Altamimi, Ibraheem
- Venue
- Cureus
- Published
- 2023-06-25
- Volume
- 15
- Issue
- 6
- Pages
- e40922-e40922
- ISSN
- 2168-8184 (ISSN-L)
- PMC
- PMC10367431
- OpenAlex
- W4381988326
- Cited by
- 102
- References
- 8
- Citations by year
- 2026: 15 · 2025: 45 · 2024: 37 · 2023: 5
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Cureus (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- AI chatbots, artificial intelligence in healthcare, human-AI collaboration, ethics of AI in healthcare, AI regulation, patient education, patient outcomes
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