个性化
计算机科学
稳健性(进化)
多学科方法
人工智能
灵活性(工程)
领域(数学)
数据科学
生物
社会科学
数学
生物化学
基因
统计
纯数学
万维网
社会学
作者
E. R. Kolomenskaya,Vera V. Butova,Artem Poltavskiy,А. В. Солдатов,Maria A. Butakova
出处
期刊:Biomedicines
[Multidisciplinary Digital Publishing Institute]
日期:2023-12-28
卷期号:12 (1): 76-76
被引量:34
标识
DOI:10.3390/biomedicines12010076
摘要
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.
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