Research map: Integrating AI Into Emergency Radiology: Promises, Pitfalls, and Practical Approaches

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Papers in this map

  1. The global landscape of AI ethics guidelines · Anna Jobin · 2019 · 5961 citations · Cited by this paper
  2. Incoming novel radiotracer development: Fibroblast activation protein inhibitors for cancer diagnosis and treatment · 2025 · Related
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  13. The Growing Role of Emergency Departments in Hospital Admissions · Jeremiah D. Schuur · 2012 · 356 citations · Cited by this paper
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  15. Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review · Nick M. Murray · 2019 · 314 citations · Cited by this paper
  16. Imaging in the Diagnosis of Cardiac Amyloidosis · 2025 · Related
  17. Medical Device Recalls and the FDA Approval Process · Diana M. Zuckerman · 2011 · 265 citations · Cited by this paper
  18. Silent Invader: The Postoperative Risk of Mycobacterium Chimaera in Open Heart Surgery · 2025 · Related
  19. Clinician Experiences With Ambient Scribe Technology to Assist With Documentation Burden and Efficiency · Matthew J. Duggan · 2025 · 247 citations · Cited by this paper
  20. Artificial Intelligence-Assisted Software Significantly Decreases All Workflow Metrics for Large Vessel Occlusion Transfer Patients, within a Large Spoke and Hub System · 2023 · Related
  21. Large Language Models for Chatbot Health Advice Studies · Bright Huo · 2025 · 242 citations · Cited by this paper
  22. Trends in Emergency Department Use by Rural and Urban Populations in the United States · Margaret B. Greenwood‐Ericksen · 2019 · 205 citations · Cited by this paper
  23. Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment · Karen Drukker · 2023 · 143 citations · Cited by this paper
  24. Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How? · Dania Daye · 2022 · 141 citations · Cited by this paper
  25. Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography · Michael H. Bernstein · 2023 · 141 citations · Cited by this paper
  26. Understanding Liability Risk from Using Health Care Artificial Intelligence Tools · Michelle M. Mello · 2024 · 139 citations · Cited by this paper
  27. A categorisation of problems and solutions to improve patient referrals from primary to specialty care · James Greenwood-Lee · 2018 · 122 citations · Cited by this paper
  28. Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement · J. Raymond Geis · 2019 · 98 citations · Cited by this paper
  29. Artificial Intelligence and Radiologist Burnout · Hui Liu · 2024 · 96 citations · Cited by this paper
  30. Artificial Intelligence Tool for Detection and Worklist Prioritization Reduces Time to Diagnosis of Incidental Pulmonary Embolism at CT · Laurens Topff · 2023 · 81 citations · Cited by this paper
  31. Clinical Use of CT-Derived Fractional Flow Reserve in the Emergency Department · Kavitha M. Chinnaiyan · 2019 · 79 citations · Cited by this paper
  32. Exploring the Role of Artificial Intelligence in an Emergency and Trauma Radiology Department · Sabeena Jalal · 2020 · 79 citations · Cited by this paper
  33. Not all AI health tools with regulatory authorization are clinically validated · Sammy Chouffani El Fassi · 2024 · 73 citations · Cited by this paper
  34. Diagnostic and prognostic performance of artificial intelligence-based fully-automated on-site CT-FFR in patients with CAD · Bangjun Guo · 2024 · 72 citations · Cited by this paper
  35. Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA · Domenico Mastrodicasa · 2025 · 68 citations · Cited by this paper
  36. Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment · Kicky Gerhilde van Leeuwen · 2021 · 66 citations · Cited by this paper
  37. Beyond the 510(k): The regulation of novel moderate-risk medical devices, intellectual property considerations, and innovation incentives in the FDA’s De Novo pathway · Mateo Aboy · 2024 · 62 citations · Cited by this paper
  38. Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care · Meghan E. Hurley · 2024 · 62 citations · Cited by this paper
  39. Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays · Pamela G. Anderson · 2024 · 61 citations · Cited by this paper

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