Artificial intelligence (AI) plays a major role in addressing novel coronavirus 2019 (COVID-19)-related issues and is also used in computer-aided synthesis planning (CASP). AI, including machine learning, is used by artificial neural networks such as deep neural networks and recurrent networks. AI has been used in activity predictions like physicochemical properties. Machine learning in de novo design explores the generation of fruitful, biologically active molecules toward expected or finished products. Several examples establish the strength of machine learning or AI in this field. AI techniques can significantly improve treatment consistency and decision making by developing useful algorithms. AI is helpful not only in the treatment of COVID-19-infected patients but also for their proper health monitoring. It can track the crisis of COVID-19 at different scales, such as medical, molecular, and epidemiological applications. It is also helpful to facilitate the research on this virus by analyzing the available data. AI can help in developing proper treatment regimens, prevention strategies, and drug and vaccine development. Combination with synthesis planning and ease of synthesis are feasible, and more and more automated drug discovery by computers is expected in the near future to eradicate the COVID-19 virus.

人工智能 (AI) 在解决新型冠状病毒 2019 (COVID-19) 相关问题方面发挥着重要作用，也用于计算机辅助合成规划 (CASP)。人工智能，包括机器学习，被深度神经网络和循环网络等人工神经网络使用。人工智能已被用于物理化学性质等活动预测。从头设计中的机器学习探索了如何生成富有成效的生物活性分子，以实现预期或成品。几个例子确立了机器学习或人工智能在该领域的实力。通过开发有用的算法，人工智能技术可以显着提高治疗一致性和决策制定。AI 不仅有助于治疗 COVID-19 感染患者，还有助于他们进行适当的健康监测。它可以跟踪不同规模的 COVID-19 危机，例如医学、分子和流行病学应用。通过分析可用数据也有助于促进对该病毒的研究。人工智能可以帮助开发适当的治疗方案、预防策略以及药物和疫苗的开发。结合合成规划和合成的简易性是可行的，预计在不久的将来越来越多的计算机自动化药物发现将根除 COVID-19 病毒。