Application of Artificial Intelligence at All Stages of Bone Tissue Engineering

被引:20
作者
Kolomenskaya, Ekaterina [1 ]
Butova, Vera [1 ,2 ]
Poltavskiy, Artem [1 ]
Soldatov, Alexander [1 ]
Butakova, Maria [1 ]
机构
[1] Southern Fed Univ, Smart Mat Res Inst, 178-24 Sladkova, Rostov Na Donu 344090, Russia
[2] Bulgarian Acad Sci, Inst Gen & Inorgan Chem, Sofia 1113, Bulgaria
基金
俄罗斯科学基金会;
关键词
scaffolds; artificial intelligence; bone implants; machine learning; screening; biomedical materials; MARROW STROMAL CELLS; MECHANICAL-PROPERTIES; IN-VIVO; SCAFFOLD; DESIGN; REGENERATION; IMPLANTS; TITANIUM; ALLOYS; MODEL;
D O I
10.3390/biomedicines12010076
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
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.
引用
收藏
页数:20
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