Discover the newest research about AI innovations in 👶 Pediatrics.
Predicting epilepsy in children with low-grade glioma: 95.5% precision, 93.8% accuracy using radiomics and machine learning. 📊🧠
Exploring digital tools for pediatric urinary incontinence: 66 studies reveal innovative solutions! 📊💡
AI in pediatric otolaryngology: promising diagnostics, challenges in data, and future research directions. 🤖👶
Woebot Health will retire its AI mental health app on June 30. Users can download conversation history until then. 📅💬
Machine learning predicts anemia in Ethiopian children: Random forest model achieves 81.16% accuracy! 📊👶
Chatbots show promise in systematic reviews for pediatric dentistry, enhancing efficiency but needing human oversight for accuracy. 🤖📚
Machine learning enhances autism screening accuracy, identifying distinct subgroups. Promising for personalized interventions. 🤖🧩
Generative LLMs enhance COVID-19 risk assessment through AI chatbots, offering real-time insights without coding. 🤖📊
Mount Sinai has established a Center for AI in Pediatric Healthcare to enhance diagnostics and treatment for children. 🤖👶
Google’s new AI models aim to enhance drug discovery and improve health information access. 🧬💊
