A sco** review of using large language models (llms) to investigate electronic health records (ehrs)
Electronic Health Records (EHRs) play an important role in the healthcare system. However,
their complexity and vast volume pose significant challenges to data interpretation and …
their complexity and vast volume pose significant challenges to data interpretation and …
Evaluation and mitigation of the limitations of large language models in clinical decision-making
Clinical decision-making is one of the most impactful parts of a physician's responsibilities
and stands to benefit greatly from artificial intelligence solutions and large language models …
and stands to benefit greatly from artificial intelligence solutions and large language models …
A generalist vision–language foundation model for diverse biomedical tasks
Traditional biomedical artificial intelligence (AI) models, designed for specific tasks or
modalities, often exhibit limited flexibility in real-world deployment and struggle to utilize …
modalities, often exhibit limited flexibility in real-world deployment and struggle to utilize …
Applications of artificial intelligence in prostate cancer care: a path to enhanced efficiency and outcomes
The landscape of prostate cancer care has rapidly evolved. We have transitioned from the
use of conventional imaging, radical surgeries, and single-agent androgen deprivation …
use of conventional imaging, radical surgeries, and single-agent androgen deprivation …
Gpt-4o system card
A Hurst, A Lerer, AP Goucher, A Perelman… - arxiv preprint arxiv …, 2024 - arxiv.org
GPT-4o is an autoregressive omni model that accepts as input any combination of text,
audio, image, and video, and generates any combination of text, audio, and image outputs …
audio, image, and video, and generates any combination of text, audio, and image outputs …
Biomedgpt: A unified and generalist biomedical generative pre-trained transformer for vision, language, and multimodal tasks
Conventional task-and modality-specific artificial intelligence (AI) models are inflexible in
real-world deployment and maintenance for biomedicine. At the same time, the growing …
real-world deployment and maintenance for biomedicine. At the same time, the growing …
Delving into ChatGPT usage in academic writing through excess vocabulary
Recent large language models (LLMs) can generate and revise text with human-level
performance, and have been widely commercialized in systems like ChatGPT. These …
performance, and have been widely commercialized in systems like ChatGPT. These …
Towards evaluating and building versatile large language models for medicine
In this study, we present MedS-Bench, a comprehensive benchmark to evaluate large
language models (LLMs) in clinical contexts, MedS-Bench, spanning 11 high-level clinical …
language models (LLMs) in clinical contexts, MedS-Bench, spanning 11 high-level clinical …
HANNA: hard-constraint neural network for consistent activity coefficient prediction
We present the first hard-constraint neural network model for predicting activity coefficients
(HANNA), a thermodynamic mixture property that is the basis for many applications in …
(HANNA), a thermodynamic mixture property that is the basis for many applications in …
Large‐Language‐Model‐Based AI Agent for Organic Semiconductor Device Research
Large language models (LLMs) have attracted widespread attention recently, however, their
application in specialized scientific fields still requires deep adaptation. Here, an artificial …
application in specialized scientific fields still requires deep adaptation. Here, an artificial …