Revolutionizing Prosthetics: The Intersection of Artificial Intelligence and ۳D Printing—A Comprehensive Systematic Review
محل انتشار: دومین کنگره بین المللی هوش مصنوعی در علوم پزشکی
سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 116
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شناسه ملی سند علمی:
AIMS02_557
تاریخ نمایه سازی: 29 تیر 1404
چکیده مقاله:
Background and Aims: The combination of Artificial Intelligence (AI) and ۳D printing has transformed the development of prosthetic limbs, delivering unmatched levels of customization, efficiency, and functionality. Conventional prosthetic manufacturing tends to be expensive, slow, and inflexible in meeting individual user requirements. By leveraging AI-powered methods and cutting-edge additive manufacturing, these challenges have been overcome through automated design refinement, real-time adjustments, and enhanced material choices. Methods: A structured literature review was carried out by searching databases like PubMed, Scopus, and Web of Science, concentrating on studies published from ۲۰۲۲ to ۲۰۲۵, examining ۵۰ peer-reviewed studies, ۱۵ industry reports, and ۱۰ clinical case studies. Key areas of focus include AI-enhanced design optimization, advancements in ۳D printing efficiency, and progress in user-specific customization. The methodology employs a systematic literature review, meta-analysis of clinical trials testing AI-integrated prosthetic solutions, and interviews with leading researchers and manufacturers. Inclusion criteria prioritized studies investigating AI applications in prosthetic design, manufacturing efficiency, material innovation, and user adaptability. Statistical analyses were performed to evaluate the impact of AI-driven methods on prosthetic fit, durability, and production costs. Results: The results reveal that AI substantially advances prosthetic development by facilitating highly tailored designs, cutting production timelines, and boosting durability and functionality. Machine learning algorithms are pivotal in analyzing patient-specific data to refine fit and comfort, while AI-enhanced ۳D printing increases precision and affordability. Additionally, AI-enabled real-time monitoring and adaptive control systems dynamically fine-tune prosthetic performance, significantly enhancing user experience and mobility. Conclusion: The collaboration between AI and ۳D printing is set to revolutionize prosthetic technology, tackling major hurdles in design, production, and accessibility. Future efforts should aim to improve AI algorithms, incorporate advanced biosensors, and extend these innovations to underserved communities. As AI progresses, its integration with ۳D printing promises to significantly improve the quality of life for amputees globally, offering prosthetics that are more affordable, functional, and customized to meet individual requirements.
کلیدواژه ها:
نویسندگان
Ayda Madadi
Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran.
Ali Afshari
Department of Medical - Surgical Nursing, School of Nursing and Midwifery, Hamadan University of Medical Sciences, Hamadan, Iran.