Importance of Diverse Datasets for AI in Healthcare
Diverse datasets are crucial for AI in healthcare. They help reduce biases and improve treatment options globally. 🌍💉
May 25, 2025
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Discover the newest research about AI innovations in Research.
Natural language processing to describe primary care requests for eConsult specialty care: A simple and practical application.
Natural language processing reveals insights from 18,609 eConsults, highlighting specialty-specific trends in telehealth requests. 📊💻
May 25, 2025
Collaboration to Enhance Occupational Therapy Referrals in Moray
Collaboration to Improve Occupational Therapy Referrals in Moray 🤝💻. Open Medical partners with Digital Health Centre for enhanced service efficiency.
May 25, 2025
Responsible artificial intelligence in public health: a Delphi study on risk communication, community engagement and infodemic management.
AI in Public Health: Expert Insights on Risk Communication & Community Engagement 🤖🌍
May 25, 2025
Impact of Trump’s Administration on AI and Health IT Regulations
Trump’s administration has significantly influenced AI and health IT regulations, creating uncertainty for healthcare professionals and technology developers. 🤖🏥
May 25, 2025
Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform.
Automated EEG-based depression detection achieves 98% accuracy using cloud technology and deep learning. 📊🧠
May 25, 2025
Microsoft Launches AI Agent Orchestrator for Enhanced Cancer Care Coordination
Microsoft has launched an AI agent orchestrator for cancer care coordination, enhancing data workflows and streamlining healthcare processes. 🩺💻
May 24, 2025
SSC-SleepNet: A Siamese-Based Automatic Sleep Staging Model with Improved N1 Sleep Detection.
Revolutionary SSC-SleepNet enhances N1 sleep detection in EEG, achieving F1-scores up to 60.2%! 💤📊
May 24, 2025
New Prescription Tracking Feature Launched in NHS App
NHS App introduces prescription tracking feature 📱💊, allowing real-time updates to reduce pharmacy visits and calls.
May 24, 2025
Application of machine learning algorithm for prediction of abortion among reproductive age women in Ethiopia.
Machine learning predicts abortion in Ethiopian women: 91% accuracy, key factors include age and first birth before 18. 📊🤰
May 24, 2025