AI in palliative care: A scoping review of foundational gaps and future directions for responsible innovation

AI in palliative care: A scoping review of foundational gaps and future directions for responsible innovation
Journal of Pain and Symptom Management; by Selen Bozkurt, Soraya Fereydooni, Irem Kar, Catherine Diop Chalmers, Sharon L Leslie, Ravi Pathak, Anne M Walling, Charlotta Lindvall, Karl Lorenz, Ravi Parikh, Tammie Quest, Karleen Giannitrapani, Dio Kavalieratos; 8/25
AI holds increasing promise for enhancing palliative care through applications in prognostication, symptom management, and decision support. However, the utilization of real-world data, the rigor of validation, and the transparency and reproducibility of these AI tools remain largely unexamined, posing critical considerations for their safe and ethical integration in sensitive end-of-life settings... AI in palliative care remains in early development, showing promise in areas such as prognosis and documentation support. However, limited validation, insufficient cross-site testing, and lack of transparency currently limit clinical applicability. Future research should emphasize external validation, inclusion of broader patient data, and adoption of open science practices to ensure these tools are reliable, safe, and trustworthy.