Ethical considerations of AI integration in palliative care: a qualitative study.
Exploring AI’s role in palliative care ethics: insights from Qiu et al.’s qualitative study. ðĪð
April 3, 2026
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Discover the newest research about AI innovations in ð Palliative Care.
From Passive Sampling to Precision Intervention: A Standardized Radiomics-Driven Workflow for Molecularly Adequate Lung Biopsy.
“New study shows 83.9% molecular adequacy in lung biopsies, improving to 91.2% with standardized procedures! ððŦ”
March 23, 2026
Classification of Osteoporosis and Detection of Compression Fractures by Implementing Real-Time Object Detection System Upon Medical Radiographs.
AI in Osteoporosis Detection: YOLOv4 achieves 78.1% accuracy for osteoporosis classification and 68.3% for fractures. ððĶī
March 21, 2026
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. ðĪâĪïļ
March 15, 2026
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. ððŧ
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. ððĪ
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. ðĨ Personalized recommendations enhance emergency care. ð
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. ðĨðŧ
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. ðð§
December 17, 2025
Quantitative Imaging for Interstitial Lung Disease.
Quantitative imaging enhances ILD diagnosis and treatment, utilizing CT and emerging MRI techniques. ððŦ
December 5, 2025