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TRUVACE RECORD VERSION
record: TRV-2026-1089
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-09-14T14:19:56.148786Z
status: published
lens: trace
sector: health
headline: The future landscape of large language models in medicine
dek: Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI's ChatGPT was made publicly available in November 2022. LLMs can often answer questions, summarize, paraphrase and translate text on a level that is nearly indistinguishable from human capabilities. The possibility to actively interact with models like ChatGPT makes LLMs attractive tools in various fields, including medicine. While these m…
gain_title: Large language models have the potential to democratize medical knowledge and facilitate access to healthcare in clinical practice.
problem_title: Large language models could distribute misinformation and exacerbate scientific misconduct in medicine due to lack of accountability and transparency.
trace_subject: use of large language models for medical knowledge dissemination in clinical practice and medical education
gain_reading: Large language models have the potential to democratize medical knowledge and facilitate access to healthcare in clinical practice.
gain_evidence: have the potential to democratize medical knowledge and facilitate access to healthcare
problem_reading: Large language models could distribute misinformation and exacerbate scientific misconduct in medicine due to lack of accountability and transparency.
problem_evidence: could equally distribute misinformation and exacerbate scientific misconduct due to a lack of accountability and transparency
quick_read: A Communications Medicine overview published October 10 2023 examines large language models as text-processing AI tools that gained wide attention after ChatGPT's November 2022 release, assessing their near-human ability to answer, summarize and translate and their emerging use in clinical practice, medical research and medical education.

The potential to broaden access to medical knowledge matters for healthcare delivery, but the same capability raises concerns about spreading misinformation and enabling misconduct when accountability and transparency are lacking, leaving uncertainty about how benefits and harms will balance in real clinical and educational settings.
limitation: Potential benefits are constrained by lack of accountability and transparency that enables misinformation and scientific misconduct.
tag: Dual reading
key_points: Large language models are AI tools trained to process and generate text that can answer questions, summarize, paraphrase and translate at near-human level. | ChatGPT was made publicly available in November 2022 and attracted substantial public attention. | Article provides systematic overview of potentials and limitations of LLMs across clinical practice, medical research and medical education.
rundown: The source defines LLMs as AI tools specifically trained to process and generate text, noting capabilities to answer questions, summarize, paraphrase and translate on a level nearly indistinguishable from human capabilities.

Published October 10 2023, the peer-reviewed overview frames LLMs as attractive tools for medicine after ChatGPT's November 2022 public release, while flagging risks of misinformation and scientific misconduct linked to accountability and transparency gaps.
sources:
- peer_reviewed | Communications Medicine | https://doi.org/10.1038/s43856-023-00370-1 | 2023-10-10
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