Tag:
Biomedicine
AI
Optimizing Neural Architecture with Large Language Models for Efficient Universal Disease Diagnosis in Histopathology Slides
In this study, we present a robust framework for pathology image analysis utilizing large-scale datasets from various sources like Kaggle and Grand-Challenge. We employed...
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Revolutionary Quantum Chip Propels China’s AI Data Centers to ‘1,000-Fold’ Speed Boost: A Landmark Achievement by Award-Winning Team
Breaking New Ground in Quantum Computing 🌟
China has made a significant leap in computing power with a revolutionary optical quantum chip. This cutting-edge technology...
AI
Assessing the Effectiveness of General-Purpose Large Language Models in Detecting Human Facial Emotions
The study, IRB-exempt from Beth Israel Deaconess Medical Center, utilized the NimStim dataset—comprised of 672 facial expression images from 43 multiracial actors—to evaluate facial...
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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....
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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...
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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...
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Enhanced Drug Analysis through Collaborative Large Language Models
This content discusses the development of DrugGPT, an advanced ensemble model integrating three general-purpose large language models (LLMs) tailored for the medical domain. It...