Understanding the awareness-to-enrollment gap: An assessment of oncologist barriers in clinical trial accrual.
When summarizing scientific studies, large language models (LLMs) like ChatGPT and DeepSeek produce inaccurate conclusions in up to 73% of cases, according to a study by Uwe Peters (Utrecht University ...
Artificial intelligence systems are increasingly entrusted with answering questions, supporting decisions and generating content. Yet researchers have identified a surprising weakness in many of today ...
Researchers evaluated the feasibility of using a local large language model to extract trauma categories from patient self-reported narratives.
A new academic study challenges a core assumption in developing large language models (LLMs), warning that more pre-training data may not always lead to better models. Researchers from some of the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results