Research trends and ethical perspectives on explainable artificial intelligence in emergency medicine: a bibliometric analysis

Research on XAI in emergency medicine is expanding rapidly and is increasingly shaped by a small group of influential journals and authors. However, critical gaps remain, including the limited availability of prospective studies, insufficient clinician involvement, and ethical frameworks that are not yet fully tailored to emergency settings. Addressing these gaps through multidisciplinary collaboration, standardized evaluation metrics, and stronger governance will be important to support transparency, accountability, and the safe clinical adoption of XAI in emergency medicine.