Optimizing dental implant identification using deep learning leveraging artificial data.
Deep learning enhances dental implant classification accuracy. π Artificial images improve performance in X-ray analysis. π¦·
February 1, 2025
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Discover the newest research about AI innovations in π€ Machine Learning.
Digitalization of health care in low- and middle-income countries.
Digital health in low- and middle-income countries is crucial for equitable care. ππ» Explore governance, infrastructure, and security challenges.
February 1, 2025
Evaluating AI Technologies in Healthcare: Insights from UVA Health
Evaluating AI in healthcare is crucial for patient safety and ethical outcomes. Key risk categories include correctness, fairness, workflow integration, and privacy. π₯π€
February 1, 2025
Risk factors and machine learning prediction models for intrahepatic cholestasis of pregnancy.
Intrahepatic cholestasis of pregnancy: key risk factors and machine learning models for better diagnosis. π€°π‘
February 1, 2025
Artificial Intelligence and the State of the Art of Orthopedic Surgery.
AI is revolutionizing orthopedic surgery, enhancing diagnostics and surgical planning. π€π Key methodologies improve patient care and recovery. π₯β¨
January 31, 2025
Apollo Hospitals Establishes Digital Health Research Center
Apollo Hospitals and University of Leicester launch a digital health research center in India and the UK. π₯π
January 31, 2025
Recognizing drivers’ sleep onset by detecting slow eye movement using a parallel multimodal one-dimensional convolutional neural network.
New research highlights a model detecting drivers’ sleep onset through slow eye movements. ππ€ Promising results for safety!
January 31, 2025
Performance analysis of a deep-learning algorithm to detect the presence of inflammation in MRI of sacroiliac joints in patients with axial spondyloarthritis.
A deep-learning algorithm shows promise in detecting inflammation in MRI scans for axial spondyloarthritis patients. π€π©»
January 30, 2025
European ILD registry algorithm for self-assessment in interstitial lung diseases (eurILDreg ASA-ILD).
New e-health tools enhance ILD monitoring. π± Early detection through spirometry and oximetry improves patient outcomes. π¬οΈ
January 30, 2025
Quantification of training-induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females.
This study highlights the role of machine learning in assessing body composition changes after strength training in young females. ποΈββοΈπ
January 30, 2025