From algorithm to applications: Artificial intelligence – A future prospective in medicine

Artificial intelligence (AI) is a boon to the human race that offers transformative potential in the medical care system, revolutionizing human well-being. Over the past five decades, AI has evolved significantly in deep learning and machine learning (ML). AI subfields work together to provide intelligence for various applications. ML is a self-learning system that can improve its performance through training experiences. Utilizing artificial neural networks mimics human brain functions, while computer vision involves computers extracting information from images or videos. The application of AI is deployed across diverse medical fields, including cardiology, dermatology, ophthalmology, and oncology, enhancing diagnostic procedures and treatment outcomes. The review found that AI has significantly impacted multiple areas of healthcare. In diagnostics, AI applications have improved accuracy and efficiency, particularly in fields such as cardiology and oncology. Overall, while AI holds promise for revolutionizing healthcare, its success will depend on addressing the challenges and continuing to advance both technology and implementation practices.人工智能（Artificial Intelligence）是造福人类的重要技术，在医疗保健系统中具备变革性潜能，可推动人类健康福祉的革新。在过去五十年间，人工智能在深度学习（Deep Learning）与机器学习（Machine Learning）领域取得了长足发展。人工智能的各个子领域协同协作，为各类应用场景提供智能支撑。机器学习是一种自学习系统，可通过训练过程提升自身性能表现。借助人工神经网络（Artificial Neural Networks）可模拟人类大脑的功能，而计算机视觉（Computer Vision）则指计算机从图像或视频中提取信息的技术。人工智能的应用已覆盖众多医学领域，包括心脏病学（Cardiology）、皮肤病学（Dermatology）、眼科学（Ophthalmology）与肿瘤学（Oncology），能够优化诊断流程并改善治疗效果。本次综述发现，人工智能已对医疗保健的多个领域产生了显著影响。在诊断环节中，人工智能应用已提升了诊断的准确性与效率，尤其是在心脏病学与肿瘤学等领域。总体而言，尽管人工智能有望革新医疗保健行业，但其成功与否将取决于能否应对现有挑战，并持续推进技术与落地实践的发展。