Artificial Intelligence in Biomaterials: A Comprehensive Review

Yasemin Gokcekuyu, Fatih Ekinci, Mehmet Serdar Guzel, Koray Acici, Sahin Aydin, Tunc Asuroglu

Tutkimustuotos: Katsausartikkelivertaisarvioitu

Abstrakti

The importance of biomaterials lies in their fundamental roles in medical applications such as tissue engineering, drug delivery, implantable devices, and radiological phantoms, with their interactions with biological systems being critically important. In recent years, advancements in deep learning (DL), artificial intelligence (AI), machine learning (ML), supervised learning (SL), unsupervised learning (UL), and reinforcement learning (RL) have significantly transformed the field of biomaterials. These technologies have introduced new possibilities for the design, optimization, and predictive modeling of biomaterials. This review explores the applications of DL and AI in biomaterial development, emphasizing their roles in optimizing material properties, advancing innovative design processes, and accurately predicting material behaviors. We examine the integration of DL in enhancing the performance and functional attributes of biomaterials, explore AI-driven methodologies for the creation of novel biomaterials, and assess the capabilities of ML in predicting biomaterial responses to various environmental stimuli. Our aim is to elucidate the pivotal contributions of DL, AI, and ML to biomaterials science and their potential to drive the innovation and development of superior biomaterials. It is suggested that future research should further deepen these technologies’ contributions to biomaterials science and explore new application areas.

AlkuperäiskieliEnglanti
Artikkeli6590
JulkaisuApplied Sciences
Vuosikerta14
Numero15
DOI - pysyväislinkit
TilaJulkaistu - elok. 2024
OKM-julkaisutyyppiA2 Katsausartikkeli tieteellisessä aikakauslehdessä

Rahoitus

This work was partly supported by Fonet Information Technologies.

RahoittajatRahoittajan numero
Virginia Information Technologies Agency

    Julkaisufoorumi-taso

    • Jufo-taso 1

    !!ASJC Scopus subject areas

    • Yleinen materiaalitiede
    • Instrumentation
    • Yleinen tekniikka
    • Process Chemistry and Technology
    • Computer Science Applications
    • Fluid Flow and Transfer Processes

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