Application of artificial intelligence in 3D printing physical organ models

Ma, Liang; Yu, Shijie; Xu, Xiaodong; Moses Amadi, Sidney; Zhang, Jing; Wang, Zhifei

doi:10.1016/j.mtbio.2023.100792

Cited by 21 publications

(2 citation statements)

References 103 publications

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“…The rise of autonomous systems equipped with AI driven algorithms and advanced sensors promises precision driven, standardized postprocessing operations [103]. The increased adoption of robotics in tasks such as support removal, surface finishing, and quality inspection aims to reduce labor intensity, improve repeatability while ensuring consistent quality across batches of printed components [104].…”

Section: Future Directions and Research Opportunitiesmentioning

confidence: 99%

Post-Production Finishing Processes Utilized in 3D Printing Technologies

Kantaros,

Ganetsos,

Petrescu

et al. 2024

Processes

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Additivе manufacturing (AM) has rеvolutionizеd production across industriеs, yеt challеngеs pеrsist in achiеving optimal part quality. This papеr studies thе еnhancеmеnt of post-procеssing tеchniquеs to еlеvatе thе ovеrall quality of AM-producеd componеnts. This study focuses on optimizing various post-procеssing mеthodologiеs to addrеss prеvalеnt issuеs such as surfacе roughnеss, dimеnsional accuracy, and matеrial propеrtiеs. Through an еxtеnsivе rеviеw, this article idеntifiеs and еvaluatеs a spеctrum of post-procеssing mеthods, еncompassing thеrmal, chеmical, and mеchanical trеatmеnts. Spеcial attеntion is givеn to thеir еffеcts on diffеrеnt typеs of additivе manufacturing tеchnologiеs, including sеlеctivе lasеr sintеring (SLS), fusеd dеposition modеling (FDM), and stеrеolithography (SLA) and their dedicated raw materials. Thе findings highlight thе significancе of tailorеd post-procеssing approachеs in mitigating inhеrеnt dеfеcts, optimizing surfacе finish, and еnhancing mеchanical propеrtiеs. Additionally, this study proposеs novеl post-procеssing procedures to achiеvе supеrior quality whilе minimizing fabrication timе and infrastructure and material costs. Thе intеgration of post-procеssing techniques such as cleaning, surface finishing, heat treatment, support structure removal, surface coating, electropolishing, ultrasonic finishing, and hot isostatic pressing (HIP), as stеps dirеctly within thе additivе manufacturing workflow can immensely contribute toward this direction. The outcomes displayed in this article not only make a valuable contribution to the progression of knowledge regarding post-processing methods but also offer practical implications for manufacturers and researchers who are interested in improving the quality standards of additive manufacturing processes.

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Section: Future Directions and Research Opportunitiesmentioning

confidence: 99%

Post-Production Finishing Processes Utilized in 3D Printing Technologies

Kantaros,

Ganetsos,

Petrescu

et al. 2024

Processes

View full text Add to dashboard Cite

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“…Healthcare advanced enormously by utilizing AI tools. 3D organ simulations generated by AI help surgeons and decisionmakers [3]. Predicting patients' outcomes and follow-up treatment besides providing real-time assistance decisions.…”

Section: Opportunitiesmentioning

confidence: 99%

Harnessing the Tide of Innovation: The Dual Faces of Generative AI in Applied Sciences; Letter to Editor

Albahri,

Zahid,

Yaseen

et al. 2024

Applied Data Science and Analysis

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Advancements in Artificial Intelligence (AI) and emerging generative capabilities added paradoxical aspects. One aspect is its positive impact and limitless power it brings to users. On the other hand, concerns about the misuse of this powerful tool have consistently increased [1]. AI advancements affect all domains and sectors as they evolve in their applicable nature in the applied sciences. The more powerful AI the more influence it has on the model workflow within the specific domain and its applied field [2]. This dual nature of generative AI ignited a wide discussion on implementation and produced a debate according to the latest employed tools and technologies by scientists and researchers.

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3D Bioprinting and Artificial Intelligence‐Assisted Biofabrication of Personalized Oral Soft Tissue Constructs

Dai,

Wang,

Mishra

et al. 2024

Adv Healthcare Materials

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Regeneration of oral soft tissue defects, including mucogingival defects associated with the recession or loss of gingival and/or mucosal tissues around teeth and implants, is crucial for restoring oral tissue form, function, and health. This study presents a novel approach using three‐dimensional (3D) bioprinting to fabricate individualized grafts with precise size, shape, and layer‐by‐layer cellular organization. A multicomponent polysaccharide/fibrinogen‐based bioink is developed, and bioprinting parameters are optimized to create shape‐controlled oral soft tissue (gingival) constructs. Rheological, printability, and shape‐fidelity assays, demonstrated the influence of thickener concentration and print parameters on print resolution and shape fidelity. Artificial intelligence (AI)‐derived tool enabled streamline the iterative bioprinting parameter optimization and analysis of the interaction between the bioprinting parameters. The cell‐laden polysaccharide/fibrinogen‐based bioinks exhibited excellent cellular viability and shape fidelity of shape‐controlled, full‐thickness gingival tissue constructs over the 18‐day culture period. While variations in thickener concentrations within the bioink minimally impact the cellular organization and morphogenesis (gingival epithelial, connective tissue, and basement membrane markers), they influence the shape fidelity of the bioprinted constructs. This study represents a significant step toward the biofabrication of personalized soft tissue grafts, offering potential applications in the repair and regeneration of mucogingival defects associated with periodontal disease and dental implants.

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Application of artificial intelligence in 3D printing physical organ models

Cited by 21 publications

References 103 publications

Post-Production Finishing Processes Utilized in 3D Printing Technologies

Post-Production Finishing Processes Utilized in 3D Printing Technologies

Harnessing the Tide of Innovation: The Dual Faces of Generative AI in Applied Sciences; Letter to Editor

3D Bioprinting and Artificial Intelligence‐Assisted Biofabrication of Personalized Oral Soft Tissue Constructs

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