Saturday, August 16, 2025
Tag:

Medicine/Public Health

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...

Addressing Demographic Biases and Inaccuracies in AI-Driven Patient Depictions via Text-to-Image Generators

In the rapidly evolving landscape of healthcare, generative AI stands at the forefront, facilitating enhanced applications, integration, and governance. Reddy's implementation science framework highlights...

Navigating the Landscape of Medical AI: Challenges and Opportunities in Commercialization

Artificial intelligence (AI) is revolutionizing healthcare, enhancing patient outcomes and practitioner efficiency. Notably, Bajwa et al. (2021) emphasize AI's transformative potential in medicine, while...

Adapting Generalist AI for Specialized Medical Applications: Insights and Challenges Ahead

Recent studies highlight the transformative impact of large language models (LLMs) in healthcare, showcasing advancements in predictive modeling, medical imaging, and clinical decision support....

Exploring the Potential of ChatGPT in Calorie-Count Diet Planning: A Pilot Study

Recent advances in artificial intelligence have led to increased interest in utilizing AI for nutrition guidance. However, there is a lack of comprehensive research...

Enhancing Precision Medicine in Rare Gynecological Tumors through Digital Twins Powered by Large Language Models

The RGT Digital Twin system revolutionizes personalized treatment for Uterine Carcinosarcoma (UCS) by integrating molecular profiling and large language model (LLM) capabilities. The study...

Advanced Language Model Analyzes Clinical Oncology Data to Predict Cancer Progression

The performance assessment of Woollie models, developed from pretrained Llama models, demonstrated significant improvements in logic and medical benchmarks. Through stacked alignment and fine-tuning,...