
AI-Enhanced Wearable Device Accelerates Wound Healing
AI-Enhanced Wearable Device Speeds Up Wound Healing π©Ήπ€. The “a-Heal” device uses AI and bioelectronics for personalized treatment.
Discover the newest research about AI innovations in π©Ή Emergency.

AI-Enhanced Wearable Device Speeds Up Wound Healing π©Ήπ€. 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. π©Ίπ

Machine learning predicts 30-day mortality in diabetes patients at ED with 86-97% sensitivity. πβοΈ

Deep learning model detects orbital fractures in youth radiographs: AUROC 0.802, sensitivity 65.8%, specificity 86.5%. πποΈ

Remote MRI scanning pilot reduces patient wait times and DNA rates, enhancing flexibility and training efficiency. π₯π

Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ππ«

AI in Emergency Toxicology: Enhancing Decision-Making Amidst Challenges π€β οΈ

AI aids emergency rooms in predicting patient admissions earlier, potentially improving care and reducing overcrowding. π₯π€

Exploring AI’s impact on emergency nursing support during explosive attacks: key findings from Seyedin et al. ππ€

New ambulance software in Rwanda aims to improve emergency care π. It could save nearly one million lives through faster coordination. π