美國衛生與公眾服務部 (HHS) 正在利用人工智慧 (AI) 和機器學習的力量，徹底改變醫療保健的提供和管理方式。透過運用這些先進技術，HHS 能夠改善病患治療效果、加速醫學研究並提高醫療保健運作的整體效率。

美國衛生與公眾服務部 (HHS) 利用人工智慧和機器學習的關鍵舉措，是透過分析大型資料集來識別模式和趨勢，從而為決策提供基礎。例如，人工智慧演算法可用於分析電子健康記錄，識別潛在的健康風險，並為患者制定個人化的治療方案。透過快速且準確地處理大量數據，人工智慧可以幫助醫療服務提供者做出更明智的決策，並最終改善病患照護。

Additionally, AI and machine learning are being used in healthcare research to accelerate the discovery of new treatments and therapies. By analyzing genetic and medical data, AI algorithms can identify potential drug candidates, predict patient responses to treatment, and even develop personalized medicine tailored to an individual's unique genetic makeup. This has the potential to revolutionize the field of medicine and make healthcare more effective and efficient.

此外，美國衛生與公眾服務部 (HHS) 正在利用人工智慧和機器學習技術簡化行政流程並改善醫療保健營運。例如，人工智慧聊天機器人可以幫助患者預約就診、解答疑問並提供基本醫療建議，從而減輕醫療服務提供者的工作量並改善患者體驗。人工智慧還可以用於分析醫療保健索賠數據，以檢測詐欺和濫用行為，從而節省成本並提高醫療保健系統的問責制。

Overall, the use of AI and machine learning by the U.S. Department of Health and Human Services represents a major step forward in the evolution of healthcare. By leveraging these cutting-edge technologies, HHS is able to improve patient care, accelerate medical research, and enhance the overall efficiency of healthcare operations. As AI continues to advance, we can expect to see even more groundbreaking innovations in the field of healthcare, ultimately leading to better outcomes for patients and a healthier society as a whole.