Research map: Artificial Intelligence in the Golden Hour: A scoping review of prehospital trauma triage and implementation feasibility in LMICs

Back to the article

Papers in this map

  1. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation · Andrea C. Tricco · 2018 · 44107 citations · Cited by this paper
  2. Cross-model consistency of AI-generated exercise prescriptions: A repeated generation study across three large language models · 2026 · Related
  3. Scoping studies: towards a methodological framework · Hilary Arksey · 2005 · 37523 citations · Cited by this paper
  4. Optimizing ambulance location based on road accident data in Rwanda using machine learning algorithms · 2025 · Related
  5. Scoping studies: advancing the methodology · Danielle Elaine Levac · 2010 · 15586 citations · Cited by this paper
  6. Interactive control of flexible guidewires using hand model in a VR-based vascular interventional surgery simulation system · 2026 · Related
  7. Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations · Varisha Zuhair · 2024 · 196 citations · Cited by this paper
  8. LLM-assisted clinical coding audit through an interpretable coding pipeline · 2026 · Related
  9. Use of artificial intelligence in critical care: opportunities and obstacles · Michael R. Pinsky · 2024 · 156 citations · Cited by this paper
  10. Pilot evaluation of smart glasses for communication workflow and task performance in prehospital care · 2026 · Related
  11. Prehospital Emergency Care in Low- and Middle-Income Countries: A Systematic Review · Hari Krishna Bhattarai · 2023 · 148 citations · Cited by this paper
  12. Large language models for automated PRISMA 2020 adherence checking · 2026 · Related
  13. Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services · Da-Young Kang · 2020 · 132 citations · Cited by this paper
  14. The digital health paradox in Primary Care: A cluster analysis of user profiles and equity determinants · 2026 · Related
  15. A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw · Muhammad Ijaz · 2021 · 117 citations · Cited by this paper
  16. Ambulance Emergency Response Optimization in Developing Countries · Justin J. Boutilier · 2020 · 111 citations · Cited by this paper
  17. Assessing trauma care systems in low-income and middle-income countries: a systematic review and evidence synthesis mapping the Three Delays framework to injury health system assessments · John Whitaker · 2021 · 102 citations · Cited by this paper
  18. Prediction of Early TBI Mortality Using a Machine Learning Approach in a LMIC Population · Robson Luís Oliveira de Amorim · 2020 · 90 citations · Cited by this paper
  19. Protection motivation theory and health behaviour: conceptual review, discussion of limitations, and recommendations for best practice and future research · Jessica Balla · 2024 · 88 citations · Cited by this paper
  20. Humanizing Intensive Care · José Manuel Velasco Bueno · 2020 · 86 citations · Cited by this paper
  21. A validation of machine learning-based risk scores in the prehospital setting · Douglas Spangler · 2019 · 81 citations · Cited by this paper
  22. Early management of trauma: The golden hour · Ashvni Sivanandan · 2020 · 67 citations · Cited by this paper
  23. A Prehospital Triage System to Detect Traumatic Intracranial Hemorrhage Using Machine Learning Algorithms · Daisu Abe · 2022 · 52 citations · Cited by this paper
  24. A Sustainable Model for Emergency Medical Services in Developing Countries: A Novel Approach Using Partial Outsourcing and Machine Learning · Nikki Rathore · 2022 · 44 citations · Cited by this paper
  25. Predicting the Individual Treatment Effect of Neurosurgery for Patients with Traumatic Brain Injury in the Low-Resource Setting: A Machine Learning Approach in Uganda · Syed M. Adil · 2020 · 26 citations · Cited by this paper
  26. Machine learning models predicting undertriage in telephone triage · Ryota Inokuchi · 2022 · 23 citations · Cited by this paper
  27. Machine Learning–Based Text Analysis to Predict Severely Injured Patients in Emergency Medical Dispatch: Model Development and Validation · Kuan-Chen Chin · 2022 · 22 citations · Cited by this paper
  28. Correction of the travel time estimation for ambulances of the red cross Tijuana using machine learning · Noelia Torres · 2021 · 21 citations · Cited by this paper
  29. Unmanned aerial vehicle based intelligent triage system in mass-casualty incidents using 5G and artificial intelligence · Jiafa Lu · 2023 · 21 citations · Cited by this paper
  30. Univariate Time Series Analysis of Short-Term Forecasting Horizons Using Artificial Neural Networks: The Case of Public Ambulance Emergency Preparedness · Tichaona Wilbert Mapuwei · 2020 · 20 citations · Cited by this paper
  31. An efficient automatic accident detection system using inertial measurement through machine learning techniques for powered two wheelers · A. Jackulin Mahariba · 2021 · 20 citations · Cited by this paper
  32. Under-triage: A New Trigger to Drive Quality Improvement in the Emergency Department · Deena A. Berkowitz · 2022 · 20 citations · Cited by this paper
  33. The Feasibility of Using Machine Learning to Classify Calls to South African Emergency Dispatch Centres According to Prehospital Diagnosis, by Utilising Caller Descriptions of the Incident · Tayla Anthony · 2021 · 17 citations · Cited by this paper
  34. AI-based approach for transcribing and classifying unstructured emergency call data: A methodological proposal · Dalton Breno Costa · 2023 · 17 citations · Cited by this paper
  35. Assessing urban emergency medical services accessibility for older adults considering ambulance trafficability using a deep learning approach · Zhuo Liu · 2025 · 17 citations · Cited by this paper
  36. Development and Validation of a Simplified Prehospital Triage Model Using Neural Network to Predict Mortality in Trauma Patients: The Ability to Follow Commands, Age, Pulse Rate, Systolic Blood Pressure and Peripheral Oxygen Saturation (CAPSO) Model · Yun Li · 2021 · 16 citations · Cited by this paper
  37. Overview of Wearable Healthcare Devices for Clinical Decision Support in the Prehospital Setting · Rachel Gathright · 2024 · 16 citations · Cited by this paper
  38. The future of prehospital emergency care: Embracing AI applications in ambulance services · Anan Khaled Al Badawi · 2023 · 15 citations · Cited by this paper
  39. Enhancing Performance of the National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Severe Trauma · Qi Chen · 2024 · 15 citations · Cited by this paper

Source: OpenAlex (CC0)