Signals shaping
health AI.
A focused stream of research, industry developments and ideas selected for people building the future of health.
Research and developments, with a clear point of view.
Speaking Patient’s Language: Assessment of Readability and Fidelity of Artificial Intelligence-Optimized Consent Forms.
AI-enhanced consent forms improved readability from 14.1 to 8.8 grade levels, but content fidelity...
Evaluation of AI Chatbot Responses to a Standardized Patient Query on Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease: Cross-Sectional Content Analysis.
AI Chatbots' Responses on MOGAD: Quality Varies Significantly 📊🤖
First Comprehensive Guide for Safe Use of AI Health Chatbots
New guide for safe use of AI health chatbots launched by University of Birmingham...
Cost Comparison: Telemedicine vs. In-Person Visits
Telemedicine visits are significantly cheaper than in-person appointments, saving patients an average of $400....
Letter re: Holding the Scalpel: Scientific Authorship and Responsibility in the Era of Generative Artificial Intelligence.
Exploring AI's impact on scientific authorship and responsibility in surgery. 🤖✍️ Key insights from...
Bayesian Model Prediction for Lung Cancer Survival Based on Demographic and Laboratory Results: A retrospective analysis.
Bayesian model predicts lung cancer survival with 71.9% accuracy, identifying age as key factor....
Highland Introduces Elevate Series to Enhance NHS-Supplier Collaboration
Highland's Elevate Series aims to improve collaboration between NHS and suppliers, fostering innovation and...
Hyper-RAG: combating LLM hallucinations using hypergraph-driven retrieval-augmented generation.
Hyper-RAG enhances LLM accuracy by 12.3%, reducing hallucinations in medical applications. 🚀📊
RMETNet: A cross-subject motor imagery EEG signal classification model based on TSLANet and riemannian geometry features.
RMETNet enhances MI-EEG classification, achieving 71.39% accuracy across subjects. Key features include TSLANet and...