Avaliação do uso de Inteligência Artificial na área de biomateriais: Contexto atual e futuras tendências

Abstract

Although biomaterials are already widely and successfully used in medical treatments, the application of Artificial Intelligence (AI) in this area represents a recent innovation with great potential for improvement. The aim of this study was to evaluate the use of AI in the biomaterials sector, understanding where and how it is being used and what the future trends are for the market in question. To this end, a narrative review was carried out, based on a survey of articles found in research databases. The results revealed that there are still no articles published in Latin America, with North America, Europe and Asia being the leaders in research. The analysis also showed that the use of AI is still in its infancy in this area and there is a predominance of studies focused on regenerative medicine, especially concerning the use of polymers. Regarding the Machine Learning (ML) model, the results showed that Artificial Neural Networks (ANNs) are much more commonly applied compared to others. It was possible to conclude that the use of AI in biomaterials, although still little explored, has a promising future, especially in optimizing manufacturing processes and correlating properties. It also offers advantages such as reducing costs and minimizing material waste, since it allows accurate predictions to be made before experimental tests. The trend is for manufacturing processes to be optimized and the use of ANNs to continue to grow, allowing for more accurate and efficient predictions, and for research to expand into new types of biomaterials, diversifying their applications beyond regenerative medicine.