Artificial intelligence in anesthesia and perioperative medicine

Qin Fei, Yufeng Zhang, Chao Liu, Jigen Zheng, Qiang Fu
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Abstract

The rapid development of artificial intelligence (AI) technology, in particular AlphaFold, has greatly improved protein structure prediction and design, reshaped protein biology and expanded research directions in anesthesiology and perioperative medicine. AI relies on deep learning to accurately model key proteins, such as G protein-coupled receptors, to aid drug development. In perioperative medicine, AI improves individualized treatment, patient safety and postoperative recovery through biomarker identification and anesthetic protocol optimization. In addition, AI accelerates anesthetic drug discovery, optimizes drug screening, toxicity prediction and clinical trials to improve the efficiency of research and development. Whilst data interpretation and diversity remain challenges, the continued advancement of AI in the fields of precision medicine and perioperative management will promote the development of individualized anesthesia and precision medicine.

人工智能在麻醉和围手术期医学中的应用
人工智能(AI)技术尤其是AlphaFold的快速发展,极大地改善了蛋白质结构的预测与设计,重塑了蛋白质生物学,拓展了麻醉学和围手术期医学的研究方向。人工智能依靠深度学习来准确地模拟关键蛋白质,如G蛋白偶联受体,以帮助药物开发。在围手术期医学中,人工智能通过生物标志物识别和麻醉方案优化,提高了个体化治疗、患者安全和术后恢复。此外,人工智能加速了麻醉药物的发现,优化了药物筛选、毒性预测和临床试验,提高了研发效率。虽然数据解释和多样性仍然是挑战,但人工智能在精准医疗和围手术期管理领域的持续进步将促进个性化麻醉和精准医疗的发展。
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