Wednesday, December 10, 2025
Tag:

Biotechnology

Leveraging a Fine-Tuned Large Language Model for Symptom-Based Depression Assessment

This study investigates a BERT-based language model, MADRS-BERT, fine-tuned on German MADRS interview data for predicting depression severity. The model significantly improved prediction accuracy,...

Leveraging Large Language Models to Predict Patient Health Trajectories for Enhanced Digital Twin Applications

DT-GPT is a novel framework that utilizes fine-tuned pre-trained large language models (LLMs) on clinical data to forecast patients' laboratory values. This method is...

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...

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...