Fact Check: "Large language models (LLMs) are used in various applications, including healthcare."
What We Know
Large language models (LLMs) have gained significant traction in various fields, particularly in healthcare. A comprehensive review of clinical trials highlights that LLMs are being explored in multiple healthcare applications, including patient care, data handling, decision support, and research assistance. Specifically, the review identified 27 clinical trials—5 published and 22 ongoing—demonstrating diverse uses of LLMs in healthcare settings (source-1). These applications range from clinical documentation to aiding in medical decision-making, showcasing the potential of LLMs to enhance healthcare delivery (source-1; source-2).
Moreover, LLMs have shown promise in specific tasks such as pre-consultation, diagnosis, and management, indicating their versatility in the clinical domain (source-2). The ongoing research aims to address challenges related to the accuracy and bias of LLM outputs, which are critical factors in their integration into clinical practice (source-1).
Analysis
The evidence supporting the claim that LLMs are used in healthcare is robust. The systematic review of clinical trials indicates that LLMs are not only being tested but are also actively being integrated into various healthcare applications. The identified trials cover a wide spectrum of uses, including patient education and informed consent processes, which are essential for improving patient engagement and outcomes (source-1).
However, it is important to note that while the potential applications of LLMs are promising, there are significant concerns regarding their accuracy and the potential for bias. Some studies have reported that LLMs can produce erroneous information, which could have serious implications in clinical settings (source-1). The reliability of the sources discussing these applications is generally high, as they are published in peer-reviewed journals and involve systematic reviews of clinical trials. This adds credibility to the findings, although ongoing research is necessary to fully understand the implications of LLMs in healthcare (source-2; source-4).
Conclusion
Verdict: True
The claim that large language models (LLMs) are used in various applications, including healthcare, is substantiated by a significant body of evidence. The ongoing clinical trials and research highlight the diverse applications of LLMs in healthcare settings, despite the challenges related to accuracy and bias that need to be addressed. The integration of LLMs into healthcare has the potential to enhance patient care and streamline various processes, but careful evaluation and oversight are essential for their successful implementation.
Sources
- Large language models in medicine: A review of current clinical trials ...
- Large language models in health care: Development, applications, and ...
- Large language models in health care: Development, applications, and ...
- Testing and Evaluation of Health Care Applications of Large Language ...
- Large language models in medical and healthcare fields: applications ...
