ChatGPT for healthcare services: An emerging stage for an innovative perspective
Open accessAbstract
Generative Pretrained Transformer, often known as GPT, is an innovative kind of Artificial Intelligence (AI) which can produce writing that seems to have been written by a person. OpenAI created this AI language model called ChatGPT. It is built using the GPT architecture and is trained on a large corpus of text data to respond to natural language inquiries that resemble a person’s requirements. This technology has lots of applications in healthcare. The need for accurate and current data is one of the major obstacles to adopting ChatGPT in healthcare. GPT must have access to precise and up-to-date medical data to provide trustworthy suggestions and treatment options. It might be accomplished by ensuring that the data used by GPT is received from reliable sources and that the data is updated regularly. Since sensitive medical information would be involved, it will also be crucial to consider privacy and security issues while utilising GPT in the healthcare industry. This paper briefs about ChatGPT and its need for healthcare, its significant Work Flow Dimensions and typical features of ChatGPT for the Healthcare domain. Finally, it identified and discussed significant applications of ChatGPT for healthcare. ChatGPT can comprehend the conversational context and provide contextually appropriate replies. Its effectiveness as a conversational AI tool makes it useful for chatbots, virtual assistants, and other applications. However, we see many limitations in medical ethics, data…
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When integrated into clinical workflows, generative AI may provide physicians with patient-specific treatment suggestions.
“When integrated into clinical workflows, it may also provide physicians with patient-specific treatment suggestions [13].”
From Generative AI in medical practice: in-depth exploration of privacy and security challenges (2024) · cites this paper as [13]
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- Authors
- Javaid, M., Haleem, A., & Singh, R. P.
- Affiliations
- Jamia Millia Islamia (IN)
- National Institute of Technology Kurukshetra (IN)
- Corresponding author
- Javaid, Mohd
- Venue
- BenchCouncil Transactions on Benchmarks, Standards and Evaluations
- Publisher
- BenchCouncil Press
- Published
- 2023-02
- Volume
- 3
- Issue
- 1
- Pages
- 100105
- ISSN
- 2772-4859 (ISSN-L)
- OpenAlex
- W4366498198
- Cited by
- 429
- References
- 73
- Citations by year
- 2026: 39 · 2025: 121 · 2024: 189 · 2023: 77 · 2022: 3
- FWCI
- 17.01
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- BenchCouncil Transactions on Benchmarks Standards and Evaluations (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- ChatGPT, generative AI in healthcare, large language models, healthcare chatbots, virtual assistants, data privacy and security, medical ethics, accountability, natural language processing applications, conversational AI
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