Kolomenskaya Ekaterina, Butova Vera, Poltavskiy Artem, Soldatov Alexander, Butakova Maria
The Smart Materials Research Institute, Southern Federal University, 178/24 Sladkova, 344090 Rostov-on-Don, Russia.
Institute of General and Inorganic Chemistry, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria.
Biomedicines. 2023 Dec 28;12(1):76. doi: 10.3390/biomedicines12010076.
The development of artificial intelligence (AI) has revolutionized medical care in recent years and plays a vital role in a number of areas, such as diagnostics and forecasting. In this review, we discuss the most promising areas of AI application to the field of bone tissue engineering and prosthetics, which can drastically benefit from AI-assisted optimization and patient personalization of implants and scaffolds in ways ranging from visualization and real-time monitoring to the implantation cases prediction, thereby leveraging the compromise between specific architecture decisions, material choice, and synthesis procedure. With the emphasized crucial role of accuracy and robustness of developed AI algorithms, especially in bone tissue engineering, it was shown that rigorous validation and testing, demanding large datasets and extensive clinical trials, are essential, and we discuss how through developing multidisciplinary cooperation among biology, chemistry with materials science, and AI, these challenges can be addressed.
近年来，人工智能（AI）的发展给医疗保健带来了变革，并在许多领域发挥着至关重要的作用，如诊断和预测。在本综述中，我们讨论了人工智能在骨组织工程和假肢领域最具应用前景的领域，这些领域可以从人工智能辅助的植入物和支架优化及患者个性化中大幅受益，其方式涵盖从可视化和实时监测到植入病例预测等各个方面，从而在特定结构决策、材料选择和合成过程之间实现平衡。鉴于所开发的人工智能算法的准确性和稳健性的关键作用，特别是在骨组织工程中，结果表明，严格的验证和测试，需要大量数据集和广泛的临床试验，是必不可少的，并且我们讨论了如何通过发展生物学、化学与材料科学以及人工智能之间的多学科合作来应对这些挑战。
