Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement.
September 16, 2024Machine learning models effectively classify cervical vertebral maturation stages, achieving up to 77.4% accuracy. 📊🦴
Machine Learning-Based Approach for Identifying Research Gaps: COVID-19 as a Case Study.
September 15, 2024A machine learning approach identifies COVID-19 research gaps, highlighting six key topics for future exploration. 📊🔍
Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography.
September 13, 2024Recent research enhances RWMA detection using machine learning and multi-view echocardiography. Promising results for early MI diagnosis! 🫀📊
Supporting Trustworthy AI Through Machine Unlearning.
September 12, 2024Machine unlearning can enhance trustworthy AI by supporting ethical principles. However, it poses ethical risks that need addressing. 🤖📜
Fall risk prediction using temporal gait features and machine learning approaches.
September 12, 2024AI enhances fall risk prediction through gait analysis. 🤖🚶♂️ Promising results with 96% accuracy using machine learning techniques. 📊
Adult co-creators’ emotional and psychological experiences of the co-creation process: a Health CASCADE scoping review protocol.
September 12, 2024Exploring adult co-creators' emotional and psychological experiences in health co-creation processes. 🧠🤝 #HealthCASCADE #CoCreation
Multispectral imaging in medicine: A bibliometric study.
September 11, 2024Multispectral imaging shows promise in medicine. 📊 Our review of a recent study highlights its potential and future applications. 🩺✨
Using machine learning to predict bacteremia in urgent care patients on the basis of triage data and laboratory results.
September 9, 2024Machine learning models show promise in predicting bacteremia in urgent care patients. 📊🤖 Early detection can save lives! 🏥
A comprehensive review of antibiotic resistance gene contamination in agriculture: Challenges and AI-driven solutions.
September 8, 2024Antibiotic resistance genes in agriculture pose significant risks. 🌾 This review highlights challenges and AI solutions for mitigation. 🤖