Identifying Transportation Needs in Ophthalmology Clinic Notes Using Natural Language Processing: Retrospective, Cross-Sectional Study.
NLP identifies transportation insecurity in 0.6% of ophthalmology patients, enhancing access to care. 🚗👁️
Effect of an AI agent trained on a large language model (LLM) as an intervention for depression and anxiety symptoms in young adults: A 28-day randomized controlled trial.
AI agents reduce depression and anxiety in young adults: 28-day trial shows significant improvements! 📉🤖
Practice effects on digital cognitive assessment tools: insights from the defense automated neurobehavioral assessment battery.
Digital cognitive assessments reveal modest practice effects, impacting response times in cognitive monitoring. Key findings from DANA study. 📊🧠
Residual disease in NPM1-mutated acute myeloid leukemia.
Exploring NPM1-mutated AML: MRD detection methods, AI's role, and challenges in clinical integration. 🧬🔬
Impact of AI on Colonoscopy Skills of Health Professionals
AI use in colonoscopy may reduce endoscopists' skills in detecting adenomas, raising concerns about patient outcomes. ⚠️🩺
Nurses’ Intention to Integrate AI Into Their Practice: Survey Study in Canada.
Nurses' AI Integration Intentions: 65% variance explained, trust & beliefs crucial for adoption. 📊🤖
New AI Tools from Penn Enhance Kidney Disease Treatment
New AI tools from Penn enhance kidney disease treatment by analyzing cellular data for personalized therapies. 🧬💊
Enhancing Oncology-Specific Question Answering With Large Language Models Through Fine-Tuned Embeddings With Synthetic Data.
Revolutionizing oncology data retrieval: 9% NDCG improvement using LLMs and fine-tuned embeddings! 📊💡