
Mapping study on AI-based technologies in palliative care – a scoping study.
AI in Palliative Care: Enhancing Quality of Life through Technology ๐ค๐
Discover the newest research about AI innovations in ๐ Palliative Care.

AI in Palliative Care: Enhancing Quality of Life through Technology ๐ค๐

Implementation science bridges AI and medical imaging, addressing barriers for effective clinical adoption. ๐ค๐

AI models predict pain relief in colorectal cancer patients: 73.8% improved, AUC 0.9167. Key insights from PubMed study. ๐๐

Revolutionary sleep apnea detection: From traditional PSG to advanced AI-driven under-the-mattress devices. ๐๏ธ๐ค

AI enhances advance care planning, identifying patients and aiding decisions. Key findings: 41 studies, 39 on patient identification. ๐๐ค

Exploring AI’s role in home-based palliative pain management: insights from Yan & Zhang’s 2025 study. ๐ค๐

Remote MRI scanning pilot reduces patient wait times and DNA rates, enhancing flexibility and training efficiency. ๐ฅ๐

Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ๐๐ซ

Hybrid AI strategy improves mammogram reading efficiency, reducing radiologist workload by 38% while maintaining detection rates. ๐๐ฉบ

AI in Palliative Care: 125 studies reveal gaps in validation, transparency, and ethical frameworks. Future research is crucial! ๐ค๐