
Mapping study on AI-based technologies in palliative care – a scoping study.
AI in Palliative Care: Enhancing Quality of Life through Technology π€π
Discover the newest research about AI innovations in π Palliative Care.

AI in Palliative Care: Enhancing Quality of Life through Technology π€π

Implementation science bridges AI and medical imaging, addressing barriers for effective clinical adoption. π€π

AI models predict pain relief in colorectal cancer patients: 73.8% improved, AUC 0.9167. Key insights from PubMed study. ππ

Revolutionary sleep apnea detection: From traditional PSG to advanced AI-driven under-the-mattress devices. ποΈπ€

AI enhances advance care planning, identifying patients and aiding decisions. Key findings: 41 studies, 39 on patient identification. ππ€

Exploring AI’s role in home-based palliative pain management: insights from Yan & Zhang’s 2025 study. π€π

Remote MRI scanning pilot reduces patient wait times and DNA rates, enhancing flexibility and training efficiency. π₯π

Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ππ«

Hybrid AI strategy improves mammogram reading efficiency, reducing radiologist workload by 38% while maintaining detection rates. ππ©Ί

AI in Palliative Care: 125 studies reveal gaps in validation, transparency, and ethical frameworks. Future research is crucial! π€π