RESUMO
Tissue engineering, a crucial approach in medical research and clinical applications, aims to regenerate damaged organs. By combining stem cells, biochemical factors, and biomaterials, it encounters challenges in designing complex 3D structures. Artificial intelligence (AI) enhances tissue engineering through computational modeling, biomaterial design, cell culture optimization, and personalized medicine. This review explores AI applications in organ tissue engineering (bone, heart, nerve, skin, cartilage), employing various machine learning (ML) algorithms for data analysis, prediction, and optimization. Each section discusses common ML algorithms and specific applications, emphasizing the potential and challenges in advancing regenerative therapies.
RESUMO
This clinical report describes the rehabilitation of a patient with a compromised temporal bone anatomy caused by resection of bone due to squamous cell carcinoma of external auditory canal. Tumor resection was followed by placement of three implants. The implants were intentionally malpositioned in the anterior-posterior plane due to the lack of temporal bone. Prosthodontic treatment included customized implant bar-supported auricular prosthesis.
