Sustainable healthcare AI-enhanced materials discovery and design for eco-friendly and biocompatible medical applications

Abstract

The present investigation explored the artificial intelligence (AI) applications in energy harvesting and sustainable healthcare materials. The process combines the creation of illustrative data with a rigorous assessment of the literature to understand the potential of AI in various disciplines. The ensuing data visualization highlights the prominence of artificial intelligence (AI) in material innovation and clarifies the ubiquity of biocompatible, sustainable, and advanced materials in the healthcare industry. The study analyses trade-offs between bias and variance in AI models for energy harvesting, illustrating the dynamic link between mistakes and model complexity. The research proceeds on to provide Artificial Intelligence (AI) solutions for PENG and TENG nanogenerators, outlining their uses in the phases of analysis, design, manufacture, and application. The findings highlight the growing importance of AI-enhanced materials in the healthcare industry and stress a steady transition to sustainability and biocompatibility. The results highlight that AI has the ability to completely change materials research and improve energy harvesting devices. The study highlighted the crucial role AI plays in developing sustainable healthcare materials and creative energy collecting techniques.