
Artificial Intelligence and Radiogenomics for Pediatric CNS Neoplasms.
AI & Radiogenomics in Pediatric CNS Tumors: 2021 WHO guidelines enhance diagnosis via molecular profiling. Promising future ahead! π§ β¨
Discover the newest research about AI innovations in π©Ή Emergency.

AI & Radiogenomics in Pediatric CNS Tumors: 2021 WHO guidelines enhance diagnosis via molecular profiling. Promising future ahead! π§ β¨

GPT-4o predicts 6-month mortality in dementia patients, aiding hospice referrals with AUC of 0.79 and aHR of 31.02. ππ‘

AI in Chest Diagnostics: Evaluating Implementation, Costs, and Experiences in NHS Networks ππ€

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