
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. ππ§
Discover the newest research about AI innovations in π Time Series Analysis.

Automated EEG-based depression detection achieves 98% accuracy using cloud technology and deep learning. ππ§

AI-driven crash risk forecasting integrates GEV theory and time series models for real-time safety at intersections. π¦π

A recent PubMed article discusses a machine learning model predicting portal vein system thrombosis post-splenectomy in cirrhosis patients. ππ©Ί

New health IT tools aim to improve care efficiency and coding accuracy through advanced analytics and automation. π₯π

Machine learning models can predict biliary complications and mortality in liver transplant patients. Key findings enhance decision-making. ππ©Ί

El Camino Health saves $850K in RN replacement costs through a new management platform, enhancing nurse manager efficiency. π°π©ββοΈ

Intrahepatic cholestasis of pregnancy: key risk factors and machine learning models for better diagnosis. π€°π‘

Trump has announced a $500 billion initiative to enhance AI infrastructure in the U.S. π€π°

Health Tech Insights: Expectations for 2025 π
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. π₯β¨

Healthcare trends in 2025 will focus on AI’s operational role, a tech reassessment, and enhanced care management. π₯π€π