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Medicine/Public Health
AI
Harnessing Large Language Models in Clinical Trials: Innovations, Applications, and Future Prospects | BMC Medicine
The recent literature emphasizes significant advancements in drug discovery and clinical trial methodologies, notably through the integration of artificial intelligence (AI) and machine learning....
AI
When Good Intentions Go Wrong: The Dangers of LLMs Spreading Inaccurate Medical Information through Sycophantic Responses
To evaluate language models' familiarity with drugs, we utilized the RABBITS30 dataset, comprising 550 drugs with brand-generic mappings. Using various pre-training corpora and the...
AI
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,...
AI
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...
AI
An Open-Source Software Pipeline for Extracting Medical Information in Oncology Using Large Language Models
The information extraction (IE) protocol encompasses four stages: problem definition and data preparation, data preprocessing, LLM-based IE, and output evaluation. Designed for clinical researchers...
AI Hacker News
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...
AI
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...
AI
Exploring the Role of Large Language Models in Ophthalmology: A Comprehensive Review for Clinicians, Researchers, Patients, and Educators
Large language models (LLMs) are transforming medical fields, particularly ophthalmology, by enhancing diagnostic precision, triage proficiency, and medical education. Key studies, including Thirunavukarasu et...