Shih-Chieh Lee, Chih-Yuan Shih, Shan-Ting Chen, Ching-Yi Lee, Shin-Rung Li, Chia-Chun Tang, Jaw-Shiun Tsai, Shao-Yi Cheng, Hsien-Liang Huang
Factors Contributing to Non-Concordance Between End-of-Life Care and Advance Care Planning
Journal of pain and symptom management
artificial intelligence ai represents system endowed ability derive meaningful inferences diverse array datasets rooted advancements machine learning models ai spawned various transformative technologies deep learning natural language processing computer vision robotics technological evolution poised witness broadened spectrum applications across diverse domains particular focus revolutionizing healthcare services noteworthy among innovations openais creation chatgpt stands profound capabilities intricate analysis primarily facilitated extensive language modeling realm healthcare ai applications including chatgpt showcased promising outcomes especially domain neonatal nursing areas pain assessment feeding processes patient status determination witnessed substantial enhancements integration ai technologies however crucial approach deployment applications judicious mindset accuracy underlying data must undergo rigorous validation results lacking solid foundation scientific insights approached skepticism paramount consideration remains patient safety necessitating ai applications like chatgpt undergo thorough scrutiny controlled evidencebased studies meticulous evaluation transformative potential ai harnessed responsibly ensuring alignment highest standards healthcare practice