
Artificial intelligence-driven clustering for phenotyping life-threatening prehospital trauma.
AI clusters trauma patients into three phenotypes, revealing 93.1% mortality in T-1 group. Key for emergency care! 🚑📊
Discover the newest research about AI innovations in 🚑 Critical Care.

AI clusters trauma patients into three phenotypes, revealing 93.1% mortality in T-1 group. Key for emergency care! 🚑📊

AI enhances ICU resource management by predicting optimal patient stay lengths, improving care efficiency for severe pneumonia cases. 🏥🤖

Machine learning identifies clinical variances linked to prolonged hospital stays, enhancing patient management. 📊🏥

Digital health in low-resource settings faces challenges but offers scalable solutions for stroke care. 📈🌍

Exploring AI’s role in medical education: critical insights from Chinese physicians. 🤖📚 Ethical implications and applications analyzed.

Machine learning enhances blood gas sample accuracy in ICU: 33,800 samples analyzed, achieving AUCPR of 0.9974! 📊💉

AI in cardiovascular imaging: balancing innovation with ethical safeguards for patient safety. 🤖❤️

AI attitudes boost nurses’ creative self-efficacy & clinical reasoning! 📈 Strong correlations found in critical care settings. 🩺

AI vs. Clinical Diagnosis: ChatGPT’s Accuracy in Surgery 🏥🤖

Predicting 28-day mortality in ICU immunocompromised patients using machine learning: SVM achieves AUROC of 0.863 📊💡