Advanced retinal imaging combined with explainable AI achieves 87.25% accuracy in detecting metabolic syndrome, offering non-invasive screening that could revolutionize preventive healthcare globally....
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...
A Boston Children’s Hospital study reveals AI can analyze infant cries to detect autism spectrum disorder (ASD) with 85% accuracy, offering a non-invasive tool for early diagnosis and intervention. ...
A new AI-powered microwave imaging system demonstrates 98.44% diagnostic accuracy, offering portable, low-cost brain tumor detection as alternative to MRI/CT scans in global trials. Researchers combin...
A June 2024 study reveals fructan intolerance affects 8-12% of adults globally, often mistaken for gluten sensitivity. Experts emphasize AI-driven diagnostics and tailored diets to address misdiagnosi...
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...
HTRecNet’s AI achieves 94% accuracy in detecting liver cancers, reduces diagnostic delays by 3 weeks, and cuts unnecessary biopsies by 40% according to recent clinical trials. A new AI system re...
A JAMA Oncology study reveals AI detects 65.8% of breast cancer recurrences post-mastectomy versus radiologists’ 55%, but its lower specificity underscores the need for collaborative human-AI diagno...
