With the introduction of ChatGPT, Large Language Models (LLMs) have received enormous
attention in healthcare. Despite potential benefits, researchers have underscored various …

Among the rapid integration of artificial intelligence in clinical settings, large language
models (LLMs), such as Generative Pre-trained Transformer-4, have emerged as …

Large language models (LLMs) hold promise to serve complex health information needs but
also have the potential to introduce harm and exacerbate health disparities. Reliably …

Analyzing vast textual data and summarizing key information from electronic health records
imposes a substantial burden on how clinicians allocate their time. Although large language …

Large language models (LLMs) hold great promise in summarizing medical evidence. Most
recent studies focus on the application of proprietary LLMs. Using proprietary LLMs …

Sifting through vast textual data and summarizing key information from electronic health
records (EHR) imposes a substantial burden on how clinicians allocate their time. Although …

Importance Virtual patient-physician communications have increased since 2020 and
negatively impacted primary care physician (PCP) well-being. Generative artificial …

Despite increasing numbers of regulatory approvals, deep learning-based computational
pathology systems often overlook the impact of demographic factors on performance …

Large language models (LLMs) are rapidly being adopted in healthcare, necessitating
standardized reporting guidelines. We present transparent reporting of a multivariable …

Large language models such as OpenAI's GPT-4 have the potential to transform medicine1
by enabling automation of a range of tasks, including writing discharge summaries, 2 …