New deep learning algorithm achieves 92% accuracy in detecting sleep stages through breathing patterns, per June 2024 Nature study, potentially disrupting polysomnography-dominated sleep diagnostics. ...
MIT and Brigham researchers develop AI that analyzes breathing patterns to detect sleep stages with 89% accuracy, potentially revolutionizing home sleep disorder diagnostics. A neural network analyzin...
Researchers developed a hybrid AI/microwave imaging system detecting brain tumors with 98.44% accuracy, offering real-time diagnostics at 40% lower cost than traditional methods. A novel AI-enhanced m...
FDA-cleared AI tools now decode triple-negative breast cancer biomarkers in imaging scans, enabling earlier diagnosis and personalized therapies while raising ethical questions about algorithmic trans...
