Discover the newest research about AI innovations in ๐ฉน Emergency.
AI in Chest Diagnostics: Evaluating Implementation, Costs, and Experiences in NHS Networks ๐๐ค
AI-Enhanced Wearable Device Speeds Up Wound Healing ๐ฉน๐ค. The “a-Heal” device uses AI and bioelectronics for personalized treatment.
Airway foreign body aspiration poses risks, especially in children and seniors. Recent studies show 98-99% diagnostic accuracy with advanced imaging. ๐ฉบ๐
Machine learning predicts 30-day mortality in diabetes patients at ED with 86-97% sensitivity. ๐โ๏ธ
Deep learning model detects orbital fractures in youth radiographs: AUROC 0.802, sensitivity 65.8%, specificity 86.5%. ๐๐๏ธ
Remote MRI scanning pilot reduces patient wait times and DNA rates, enhancing flexibility and training efficiency. ๐ฅ๐
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ๐๐ซ
AI in Emergency Toxicology: Enhancing Decision-Making Amidst Challenges ๐คโ ๏ธ
AI aids emergency rooms in predicting patient admissions earlier, potentially improving care and reducing overcrowding. ๐ฅ๐ค
Exploring AI’s impact on emergency nursing support during explosive attacks: key findings from Seyedin et al. ๐๐ค
