Advancing bioimplant manufacturing through artificial intelligence

This chapter delves into the transformative impact of artificial intelligence (AI) and machine learning (ML) on bioimplant manufacturing, showcasing the promise of increased precision, efficiency, and patient-specific solutions. It explores various AI/ML algorithms, such as neural networks, support vector machines, and random forests, and illustrates their applications through case studies that address challenges, enhance quality control, optimise designs, and provide personalised implants. Ethical considerations surrounding patient data privacy, data security, and regulatory compliance are discussed, with proposed remedies including transparency, robust consent procedures, encryption, access controls, and rigorous testing. The future of AI/ML-driven bioimplant manufacturing envisions a realm of continuous monitoring, remote diagnostics, predictive maintenance, and self-healing implants, which could shape a healthcare landscape with reduced revision surgeries. Emerging trends, like long-short-term memory (LSTM) networks, offer potential for real-time monitoring and improved patient outcomes. In conclusion, the integration of AI/ML with bioimplant manufacturing has the potential to redefine healthcare, prioritise patient well-being, and pave the way for groundbreaking medical innovation. This chapter provides a comprehensive examination of AI/ML’s transformative influence in healthcare, spanning from current applications to promising future prospects and underscoring the potential for a revolution in patient care.