| 英文摘要 |
Rising costs, power shortages, and gaps in service accessibility and care quality rank among the most press¬ing challenges currently facing the global healthcare system. While artificial intelligence (AI)-based tools are being increasingly used in continuous patient monitoring to facilitate the timely identification of changes in patient condition and the delivery of proactive healthcare, AI applications face challenges related to data privacy, algo-rithmic bias, model interpretability, and ethics (Fahim et al., 2025). |