Sunday, October 5, 2025
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Biomedicine

Transforming Healthcare: The Rise of Physician-Algorithm Specialists in the Age of Clinical AI

Unlocking Clinical Value with Algorithmic Consultants As healthcare evolves, the integration of AI in clinical settings presents unique challenges and opportunities. Enter the...

CARE-AD: An Advanced Multi-Agent Language Model Framework for Predicting Alzheimer’s Disease Through Longitudinal Clinical Notes

This study utilized the VHA Corporate Data Warehouse's extensive EHR database, covering 2000-2022, to investigate Alzheimer’s disease (AD) using a case-control design. Approved by...

Enhancing Depression Screening Through AI-Driven Multi-Modal Information: A Systematic Review and Meta-Analysis

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

Personalized Sleep and Fitness Coaching with an Advanced Language Model

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...

Revealing the Surprising Power of Large Language Models in Predicting Aging Status

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

A Practical Guide to Implementing and Reviewing Artificial Intelligence in Healthcare (FAIR-AI)

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...

Transforming Ophthalmology: How a Large Language Model Digital Patient System Improves History-Taking Skills

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

Integrating Large Language Models in Cancer Decision-Making: A Comprehensive Systematic Review and Meta-Analysis

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...