NICE Endorses AI Technologies for Enhanced Detection of Bone Fractures in X-rays
NICE endorses AI tools for detecting bone fractures in X-rays, enhancing urgent care efficiency. 🦴💻
October 23, 2024
Follow us
latest articles
Discover the newest research about AI innovations in 🦴 Orthopedics.
Can ChatGPT Reliably Answer the Most Common Patient Questions Regarding Total Shoulder Arthroplasty?
A recent study evaluated ChatGPT’s responses to common questions about total shoulder arthroplasty. 🤖📋 Overall, it received a grade of B-.
October 18, 2024
AI Achieves Comparable Accuracy to Radiologists in Brain Tumor MRI Analysis
AI shows promising accuracy in brain tumor MRI analysis, matching radiologists’ performance. 🤖🧠 Future implications for diagnostics are significant.
October 9, 2024
Precision Metrics: A Narrative Review on Unlocking the Power of KPIs in Radiology for Enhanced Precision Medicine.
Key performance indicators (KPIs) in radiology enhance precision medicine, ensuring safety and improving diagnostic accuracy. 📊🩻
September 30, 2024
[Early gait analysis after total knee arthroplasty based on artificial intelligence dynamic image recognition].
Early gait analysis post knee arthroplasty shows improved function and reduced pain. AI technology aids in precise evaluation. 🦵📈
September 29, 2024
Methodology and development of a machine learning probability calculator: Data heterogeneity limits ability to predict recurrence after arthroscopic Bankart repair.
A recent PubMed article explores machine learning’s role in predicting recurrence after arthroscopic Bankart repair. 🤖📉 Data limitations hinder accuracy.
September 26, 2024
Identifying Racial Disparities in Utilization and Clinical Outcomes of Ambulatory Hip Arthroscopy: Analysis of Temporal Trends and Causal Inference via Machine Learning.
Racial disparities in hip arthroscopy utilization and outcomes were highlighted in a recent PubMed article. 📊⚖️
September 24, 2024
Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement.
Machine learning models effectively classify cervical vertebral maturation stages, achieving up to 77.4% accuracy. 📊🦴
September 16, 2024