Tag:
Medicine/Public Health
AI
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...
AI
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...
AI
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,...
AI
Governance of Responsible Artificial Intelligence in Oncology
The Results section presents reusable frameworks and tools developed during the design phase of our study, enabling the registration and monitoring of 26 AI...
AI
Enhancing Clinical Information Extraction: Iterative Refinement and Goal Articulation for Optimizing Large Language Models
The study details the iterative refinement of a workflow pipeline designed to extract complex information from pathology reports, culminating in a “gold-standard” set of...
AI
Comprehensive Scoping Review of External Validation Studies on AI Pathology Models for Lung Cancer Diagnosis
This review identified 4,423 initial studies on AI models for lung cancer detection, supplemented by 440 additional sources. After removing duplicates, 22 studies met...
AI
Innovative Applications of AI in Psychiatry: A Historical Perspective and Future Insights
The study by Ornell et al. highlights the significant impact of the COVID-19 pandemic on mental healthcare across Brazil through an extensive epidemiological analysis....
AI
Exploring Cancer Patient Decision-Making Journeys: Insights from Investigators and Large Language Models
The study involved 33 cancer patients (22 women, 11 men) aged 28-83, primarily diagnosed with breast cancer (42.4%), and examined their cancer care journeys...