Emergency
Every article we have published: research summaries, product thinking and developments in health AI.
Emergency · 81 articles

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! 🧠✨

Predicting hospice eligibility among dementia patients using language models.
GPT-4o predicts 6-month mortality in dementia patients, aiding hospice referrals with AUC of 0.79 and aHR of 31.02. 📊💡

Implementation, Experiences, Impact, and Costs of Artificial Intelligence in Chest Diagnostics: Protocol for a Mixed Methods Evaluation.
AI in Chest Diagnostics: Evaluating Implementation, Costs, and Experiences in NHS Networks 📊🤖

AI-Enhanced Wearable Device Accelerates Wound Healing
AI-Enhanced Wearable Device Speeds Up Wound Healing 🩹🤖. The "a-Heal" device uses AI and bioelectronics for personalized treatment.

Foreign body removal.
Airway foreign body aspiration poses risks, especially in children and seniors. Recent studies show 98-99% diagnostic accuracy with advanced imaging. 🩺🔍

Development and evaluation of a machine learning prediction model for short-term mortality in patients with diabetes or hyperglycemia at emergency department admission.
Machine learning predicts 30-day mortality in diabetes patients at ED with 86-97% sensitivity. 📊⚕️

Deep learning model using cross-sequence learning to identify orbital fractures in radiographs of patients under 20 Years.
Deep learning model detects orbital fractures in youth radiographs: AUROC 0.802, sensitivity 65.8%, specificity 86.5%. 📊👁️

Remote MRI Scanning Pilot Reduces Patient Wait Times and DNA Rates
Remote MRI scanning pilot reduces patient wait times and DNA rates, enhancing flexibility and training efficiency. 🏥📉

Lung lobe segmentation: performance of open-source MOOSE, TotalSegmentator, and LungMask models compared to a local in-house model.
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. 📊🫁

Artificial Intelligence Applications in Emergency Toxicology: Advancements and Challenges.
AI in Emergency Toxicology: Enhancing Decision-Making Amidst Challenges 🤖⚠️

AI Enhances Emergency Room Admission Predictions
AI aids emergency rooms in predicting patient admissions earlier, potentially improving care and reducing overcrowding. 🏥🤖

The role of artificial intelligence in psychosocial support for emergency nursing during explosive attacks.
Exploring AI's impact on emergency nursing support during explosive attacks: key findings from Seyedin et al. 📊🤖
Also on LinkedIn
AI Health Hub posts the same research summaries on LinkedIn every day. More than 3,000 people follow it there.