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The TRIPOD-LLM reporting guideline for studies using large language models
Large language models (LLMs) are rapidly being adopted in healthcare, necessitating
standardized reporting guidelines. We present transparent reporting of a multivariable …
standardized reporting guidelines. We present transparent reporting of a multivariable …
A future role for health applications of large language models depends on regulators enforcing safety standards
Among the rapid integration of artificial intelligence in clinical settings, large language
models (LLMs), such as Generative Pre-trained Transformer-4, have emerged as …
models (LLMs), such as Generative Pre-trained Transformer-4, have emerged as …
Large language model–based responses to patients' in-basket messages
WR Small, B Wiesenfeld, B Brandfield-Harvey… - JAMA network …, 2024 - jamanetwork.com
Importance Virtual patient-physician communications have increased since 2020 and
negatively impacted primary care physician (PCP) well-being. Generative artificial …
negatively impacted primary care physician (PCP) well-being. Generative artificial …
A strategy for cost-effective large language model use at health system-scale
Large language models (LLMs) can optimize clinical workflows; however, the economic and
computational challenges of their utilization at the health system scale are underexplored …
computational challenges of their utilization at the health system scale are underexplored …
GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial
While large language models (LLMs) have shown promise in diagnostic reasoning, their
impact on management reasoning, which involves balancing treatment decisions and …
impact on management reasoning, which involves balancing treatment decisions and …
Medec: A benchmark for medical error detection and correction in clinical notes
Several studies showed that Large Language Models (LLMs) can answer medical questions
correctly, even outperforming the average human score in some medical exams. However …
correctly, even outperforming the average human score in some medical exams. However …
[HTML][HTML] Digital information ecosystems in modern care coordination and patient care pathways and the challenges and opportunities for AI solutions
The integration of digital technologies into health care has significantly enhanced the
efficiency and effectiveness of care coordination. Our perspective paper explores the digital …
efficiency and effectiveness of care coordination. Our perspective paper explores the digital …
From text to treatment: the crucial role of validation for generative large language models in health care
Generative large language models (LLMs) have made incredible progress and are
speculated to become the next big revolution in health care. Researchers have described …
speculated to become the next big revolution in health care. Researchers have described …
Retrieval-augmented generation for generative artificial intelligence in medicine
Generative artificial intelligence (AI) has brought revolutionary innovations in various fields,
including medicine. However, it also exhibits limitations. In response, retrieval-augmented …
including medicine. However, it also exhibits limitations. In response, retrieval-augmented …
[HTML][HTML] Impact of a digital scribe system on clinical documentation time and quality: usability study
Background: Physicians spend approximately half of their time on administrative tasks,
which is one of the leading causes of physician burnout and decreased work satisfaction …
which is one of the leading causes of physician burnout and decreased work satisfaction …