Challenges and barriers of using large language models (LLM) such as ChatGPT for diagnostic medicine with a focus on digital pathology – a recent scoping review
The Ohio State University Wexner Medical Center · SKiN Health
Abstract
The integration of large language models (LLMs) like ChatGPT in diagnostic medicine, with a focus on digital pathology, has garnered significant attention. However, understanding the challenges and barriers associated with the use of LLMs in this context is crucial for their successful implementation.
A scoping review was conducted to explore the challenges and barriers of using LLMs, in diagnostic medicine with a focus on digital pathology. A comprehensive search was conducted using electronic databases, including PubMed and Google Scholar, for relevant articles published within the past four years. The selected articles were critically analyzed to identify and summarize the challenges and barriers reported in the literature.
Citation impact
- FWCI
- 26.41
- Percentile
- 100%
- References
- 26
Authors
4Topics & keywords
- Interpretability
- Context (archaeology)
- Medicine
- Health care
- Autonomy
- Political science
- Artificial intelligence
- Computer science