Impact of Artificial Intelligence on the Care of Terminally Ill Patients.
AI enhances palliative care, improving prognostication and decision support, but cannot replace human compassion. 🤖❤️
March 15, 2026
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Discover the newest research about AI innovations in 🛌 Palliative Care.
The use of digital gamification, extended reality, artificial intelligence, and integrated digital learning tools in palliative care education of undergraduate nurses: A systematic review.
Digital tools enhance palliative care education for nursing students, improving competence with effect sizes up to 1.13. 📈💻
January 29, 2026
Scoping review of regulatory transparency in AI-based radiology software: analysis of PMDA-approved SaMD products.
Exploring AI in radiology: 2026 review on PMDA-approved software reveals transparency gaps. 📊🤖
January 15, 2026
Digital End-of-Life Care Plans Available for Over 100,000 Patients
Digital end-of-life care plans now available for over 100,000 patients. 🏥 Personalized recommendations enhance emergency care. 📋
January 10, 2026
Health Tech Suppliers Share Insights for 2026
Health tech suppliers predict significant advancements in NHS technology by 2026, focusing on AI integration, patient-centered care, and improved data management. 🏥💻
January 2, 2026
MRI quantitative imaging biomarkers in differentiating brain parenchymal tuberculoma and lung cancer brain metastases.
MRI radiomics model distinguishes brain tuberculoma from lung cancer metastases with AUC up to 0.986. 📊🧠
December 17, 2025
Quantitative Imaging for Interstitial Lung Disease.
Quantitative imaging enhances ILD diagnosis and treatment, utilizing CT and emerging MRI techniques. 📊🫁
December 5, 2025
Response to Letter: “Top Ten Tips Palliative Care Clinicians Should Know About the Future of Artificial Intelligence” (Patel et al., Journal of Palliative Medicine, 2025).
Exploring AI’s role in palliative care: Key insights from Patel et al. (2025) 🧠💡
December 1, 2025
Global trends and hotspots in AI applications for CT detection of chronic obstructive pulmonary disease: A bibliometric analysis from 2012 to 2024.
AI in CT Detection of COPD: 189 Publications, 37.83% Growth 📈🌍
November 22, 2025
Evaluating the Performance of ChatGPT-4V in Detecting Inflammatory Magnetic Resonance Imaging Findings of Sacroiliitis: Potentials, Challenges, and Limitations.
AI in MRI: ChatGPT-4V shows 95.5% sensitivity for bone marrow edema in sacroiliitis detection. Limitations noted. 📊🩻
November 21, 2025