Applications and Potentials of Artificial Intelligence-based Interventions in Tissue Engineering

سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 280

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WTRMED10_098

تاریخ نمایه سازی: 1 بهمن 1402

چکیده مقاله:

Background: Tissue engineering has emerged as a promising field in regenerative medicine, aiming to restore, maintain, or enhance tissue and organ functions. In recent years, artificial intelligence (AI) has shown great potential in transforming biomedical research and enhancing the effectiveness of tissue engineering strategies, thanks to its ability to analyze and interpret complex datasets. Despite these advances, our understanding of the applications and effectiveness of artificial intelligence in tissue engineering continues to evolve. In light of this, the aim of the present study is to investigate the applications and potential of artificial intelligence-based interventions in the field of tissue engineering.Methods: The present study was conducted using a scoping review method without a time limit in ۲۰۲۳. To search for and extract valid studies, the keywords "artificial intelligence", "computational intelligence", "machine intelligence", and "tissue engineering" and their synonyms were used in the PubMed, Scopus, IEEE, and Web of Science databases .After removing duplicate articles and those unrelated to the purpose of the study, the bibliographic and content information of the remaining studies were extracted according to the study's objectives.Results: The findings of the present study demonstrate that the use of artificial intelligence-based interventions in the field of tissue engineering can enhance the design and fabrication of tissue scaffolds, optimize cell culture conditions, and improve the overall effectiveness of tissue regeneration strategies. The potential of artificial intelligence applications in predicting and optimizing the length and number of micro-branches or roots, biomass in plant cell cultures or hairy root cultures, improvements in the manufacturing process, optimization in tissue-specific clonal selection, and regeneration of bone-like tissue with natural anatomical structure has been demonstrated.Conclusion: The ability of artificial intelligence to analyze and interpret complex datasets has been instrumental in advancing biomedical research, opening new avenues for personalized medicine through the development of patient-specific tissue constructs. Future research should focus on harnessing the full potential of AI in this field, emphasizing the development of more advanced AI algorithms, improving data quality, and ensuring the ethical use of AI.

نویسندگان

Taleb Khodaveisi

Assistant Professor of Health Information Technology, Department of Health Information Technology, School of Allied Medical Sciences, Hamadan University of Medical Sciences, Hamadan, Iran

Mohammad Hosseini Ravandi

Assistant Professor of Medical Informatics, Department of Health Information Technology, School of Allied Medical Sciences, Torbat Heydarieh University of Medical Sciences, Torbat Heydarieh, Razavi Khorasan, Iran

Nasim Aslani

Assistant Professor of Health Information Technology, Department of Health Information Technology,School of Allied Medical Sciences, Lorestan University of Medical Sciences, Khorramabad, Iran

Soheila Saeedi

Assistant Professor of Health Information Technology, Department of Health Information Technology, School of Allied Medical Sciences, Hamadan University of Medical Sciences, Hamadan, Iran

Farzaneh Kermani

Assistant Professor of Medical Informatics, Department of Health Information Technology, Sorkheh School of Allied Medical Sciences, Semnan University of Medical Sciences, Semnan, Iran