Biomedicine

The comprehensive review highlights recent advances in depression detection, employing diverse methodologies, including EEG, facial expressions, and speech analysis. Key studies demonstrate the efficacy...

In response to the lack of comprehensive datasets in personal health, we developed specialized datasets for evaluating the capabilities of PH-LLM. These include professional...

In a groundbreaking study published in Nature Medicine, Li et al. explore the use of large language models (LLMs) for predicting biological age across...

The narrative review outlines best practices for responsibly deploying AI in healthcare as part of the FAIR-AI framework, focusing on validation, transparency, equity, and...

This study focuses on constructing an ophthalmic dataset and evaluating various large language models (LLMs) to enhance medical education through a digital patient simulation...

In our systematic review, we analyzed 56 studies focusing on AI-based chatbots and their role in clinical decision support for cancer patients. Following rigorous...

CRISPR-GPT is an advanced AI co-pilot leveraging large language models (LLMs) to streamline gene-editing workflows, supporting four major modalities across 22 specific tasks. It...

The understanding of adverse drug reactions (ADRs) is critical in clinical medicine, as highlighted by Coleman and Pontefract (2016), emphasizing the need for vigilance...