Key Points Medical Artificial Intelligence and Human Values As large language models and
other artificial intelligence models are used more in medicine, ethical dilemmas can arise …

Many clinical tasks require an understanding of specialized data, such as medical images
and genomics, which is not typically found in general-purpose large multimodal models …

Despite the proliferation of wearable health trackers and the importance of sleep and
exercise to health, deriving actionable personalized insights from wearable data remains a …

In many scientific fields, large language models (LLMs) have revolutionized the way with
which text and other modalities of data (eg, molecules and proteins) are dealt, achieving …

Recently, methods investigating how to adapt large language models (LLMs) for specific
scenarios have gained great attention. Particularly, the concept of\textit {persona}, originally …

Despite their improved capabilities in generation and reasoning, adapting large language
models (LLMs) to the biomedical domain remains challenging due to their immense size …

Large language models (LLMs) have captured significant interest from both academia and
industry due to their impressive performance across various textual tasks. However, the …

Recent studies indicate that large multimodal models (LMMs) are highly robust against
natural distribution shifts, often surpassing previous baselines. Despite this, domain-specific …

In health, most large language model (LLM) research has focused on clinical tasks.
However, mobile and wearable devices, which are rarely integrated into such tasks, provide …

Medical researchers are increasingly utilizing advanced LLMs like ChatGPT-4 and Gemini
to enhance diagnostic processes in the medical field. This research focuses on their ability …