3D-printed multifunctional materials enabled by artificial-intelligence-assisted fabrication technologies

The emerging capability to 3D print a diverse palette of functional inks will enable the mass democratization of patient-specific wearable devices and smart biomedical implants for applications such as health monitoring and regenerative biomedicines. These personalized wearables could be fabricated via ex situ printing, which involves first printing a design on a planar substrate and then deploying it to the target surface. However, this can result in a geometrically and dynamically mismatched interface between printed materials and target surfaces. In situ printing provides a potential remedy by directly printing 3D constructs on the target surfaces. This new manufacturing procedure requires the assistance of artificial intelligence (AI) to sense, adapt and predict the state of the printing environment, such as a dynamically morphing organ. In this Review, we discuss electronic and biological inks for in situ 3D printing, AI-empowered 3D-printing approaches with open-loop, closed-loop and predictive control, and recent developments in surgical robotics and AI that could be integrated in future 3D-printing approaches. We anticipate that this convergence of AI, 3D printing, functional materials and personalized biomedical devices will lead to a compelling future for smart manufacturing. Artificial intelligence can be used to facilitate the 3D printing of functional materials and devices directly on target surfaces, such as human bodies. This Review surveys ex situ and in situ artificial-intelligence-assisted 3D printing of multifunctional materials and its combination with surgical robots to enable autonomous medical care and smart biomanufacturing.

[1]  Guang-Zhong Yang,et al.  Line-scanning fiber bundle endomicroscopy with a virtual detector slit. , 2016, Biomedical optics express.

[2]  Xuanhe Zhao,et al.  Skin-inspired hydrogel–elastomer hybrids with robust interfaces and functional microstructures , 2016, Nature Communications.

[3]  Alexander P. Haring,et al.  3D printed conformal microfluidics for isolation and profiling of biomarkers from whole organs. , 2017, Lab on a chip.

[4]  D. Mooney,et al.  Hydrogels for tissue engineering. , 2001, Chemical Reviews.

[5]  Guang-Zhong Yang,et al.  Motion Compensated SLAM for Image Guided Surgery , 2010, MICCAI.

[6]  Benjamin Lies,et al.  In-situ monitoring of electrohydrodynamic inkjet printing via scalar diffraction for printed droplets , 2019, Journal of Manufacturing Systems.

[7]  Lorenzo Torresani,et al.  Tracking and modeling non-rigid objects with rank constraints , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[8]  L. Applegate,et al.  Factor XIII Cross-Linked Hyaluronan Hydrogels for Cartilage Tissue Engineering. , 2016, ACS biomaterials science & engineering.

[9]  Martin L. Dunn,et al.  Machine-learning based design of active composite structures for 4D printing , 2019, Smart Materials and Structures.

[10]  Woo Jin Hyun,et al.  Printed, 1 V electrolyte-gated transistors based on poly(3-hexylthiophene) operating at >10 kHz on plastic , 2018, Applied Physics Letters.

[11]  Wei Zhu,et al.  3D optical printing of piezoelectric nanoparticle-polymer composite materials. , 2014, ACS nano.

[12]  E ParentRichard,et al.  Shape transformation for polyhedral objects , 1992 .

[13]  Helder Araújo,et al.  A non-rigid map fusion-based direct SLAM method for endoscopic capsule robots , 2017, International Journal of Intelligent Robotics and Applications.

[14]  Zheng Liu,et al.  Three-dimensional Imaging and Scanning: Current and Future Applications for Pathology , 2017, Journal of pathology informatics.

[15]  Yongmin Zhong,et al.  Deformable Models for Surgical Simulation: A Survey , 2019, IEEE Reviews in Biomedical Engineering.

[16]  Zhizhou Zhang,et al.  Autonomous in-situ correction of fused deposition modeling printers using computer vision and deep learning , 2019, Manufacturing Letters.

[17]  Michael C. McAlpine,et al.  3D Printed Stretchable Tactile Sensors , 2017, Advanced materials.

[18]  Pushmeet Kohli,et al.  Fusion4D , 2016, ACM Trans. Graph..

[19]  Xiaodong Li,et al.  In situ real time defect detection of 3D printed parts , 2017 .

[20]  W. Bemelman,et al.  Laparoscopic vascular surgery: a systematic review. , 2007, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[21]  Akif Kaynak,et al.  Closed-loop 4D-printed soft robots , 2020 .

[22]  Benjamin Lies,et al.  Machine vision assisted micro-filament detection for real-time monitoring of electrohydrodynamic inkjet printing , 2018 .

[23]  Z. Suo,et al.  Printing Hydrogels and Elastomers in Arbitrary Sequence with Strong Adhesion , 2019, Advanced Functional Materials.

[24]  R. Mülhaupt,et al.  Polymers for 3D Printing and Customized Additive Manufacturing , 2017, Chemical reviews.

[25]  Fabien Guillemot,et al.  In situ printing of mesenchymal stromal cells, by laser-assisted bioprinting, for in vivo bone regeneration applications , 2017, Scientific Reports.

[26]  Zhizhou Zhang,et al.  Automated Real‐Time Detection and Prediction of Interlayer Imperfections in Additive Manufacturing Processes Using Artificial Intelligence , 2019, Adv. Intell. Syst..

[27]  Adrian Bradu,et al.  From Macro to Micro: Autonomous Multiscale Image Fusion for Robotic Surgery , 2017, IEEE Robotics & Automation Magazine.

[28]  Bagrat Grigoryan,et al.  Multivascular networks and functional intravascular topologies within biocompatible hydrogels , 2019, Science.

[29]  Sehyun Shin,et al.  Toxic effects of silver nanoparticles and nanowires on erythrocyte rheology. , 2014, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[30]  L. Leibler,et al.  Nanoparticle solutions as adhesives for gels and biological tissues , 2013, Nature.

[31]  Raeed H. Chowdhury,et al.  Epidermal Electronics , 2011, Science.

[32]  A. R.,et al.  Review of literature , 1969, American Potato Journal.

[33]  Kyung-In Jang,et al.  3D multifunctional integumentary membranes for spatiotemporal cardiac measurements and stimulation across the entire epicardium , 2014, Nature Communications.

[34]  Yu Sun,et al.  Efficient Vessel Feature Detection for Endoscopic Image Analysis , 2015, IEEE Transactions on Biomedical Engineering.

[35]  Gamini Dissanayake,et al.  MIS-SLAM: Real-Time Large-Scale Dense Deformable SLAM System in Minimal Invasive Surgery Based on Heterogeneous Computing , 2018, IEEE Robotics and Automation Letters.

[36]  Adam M. Schwartzberg,et al.  Perovskite nanowire–block copolymer composites with digitally programmable polarization anisotropy , 2019, Science Advances.

[37]  Yinxu Bian,et al.  A Room‐Temperature High‐Conductivity Metal Printing Paradigm with Visible‐Light Projection Lithography , 2018, Advanced Functional Materials.

[38]  Xuanhe Zhao,et al.  Tough Bonding of Hydrogels to Diverse Nonporous Surfaces , 2015, Nature materials.

[39]  H. Jerry Qi,et al.  The m4 3D printer: A multi-material multi-method additive manufacturing platform for future 3D printed structures , 2019, Additive Manufacturing.

[40]  Yonggang Huang,et al.  Printing, folding and assembly methods for forming 3D mesostructures in advanced materials , 2017 .

[41]  Xiaojuan Qi,et al.  ICNet for Real-Time Semantic Segmentation on High-Resolution Images , 2017, ECCV.

[42]  R. Angrove The Adelaide experience , 1988 .

[43]  Kurt Maute,et al.  Level Set Topology Optimization of Printed Active Composites , 2015 .

[44]  Andrew L. Orekhov,et al.  Snake-Like Robots for Minimally Invasive, Single Port, and Intraluminal Surgeries , 2018, The Encyclopedia of Medical Robotics.

[45]  Andrew Zisserman,et al.  Multiple View Geometry in Computer Vision (2nd ed) , 2003 .

[46]  K. M. Deliparaschos,et al.  Evolution of autonomous and semi‐autonomous robotic surgical systems: a review of the literature , 2011, The international journal of medical robotics + computer assisted surgery : MRCAS.

[47]  Matthew J. Catenacci,et al.  Silver nanowire inks for direct-write electronic tattoo applications. , 2019, Nanoscale.

[48]  Zhijie Zhu,et al.  3D printed deformable sensors , 2020, Science Advances.

[49]  Guang-Zhong Yang,et al.  Real-Time Stereo Reconstruction in Robotically Assisted Minimally Invasive Surgery , 2010, MICCAI.

[50]  D. Seliktar Designing Cell-Compatible Hydrogels for Biomedical Applications , 2012, Science.

[51]  Estimating preventable hospital deaths: the authors reply , 2017, BMJ Quality & Safety.

[52]  Henning Biermann,et al.  Recovering non-rigid 3D shape from image streams , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[53]  Faliang Chang,et al.  Tracking-by-detection of surgical instruments in minimally invasive surgery via the convolutional neural network deep learning-based method , 2017, Computer assisted surgery.

[54]  Michel M. Maharbiz,et al.  The “sewing machine” for minimally invasive neural recording , 2019, bioRxiv.

[55]  Navid Hakimi,et al.  Handheld skin printer: in situ formation of planar biomaterials and tissues. , 2018, Lab on a chip.

[56]  Zhaohan Li,et al.  3D printed electronic materials and devices , 2019, Robotic Systems and Autonomous Platforms.

[57]  Michael C. McAlpine,et al.  3D Printed Bionic Nanodevices. , 2016, Nano today.

[58]  J. Lewis,et al.  Pen‐on‐Paper Flexible Electronics , 2011, Advanced materials.

[59]  Lydie Viau,et al.  Ionogels, ionic liquid based hybrid materials. , 2011, Chemical Society reviews.

[60]  Anthony Atala,et al.  3D bioprinting of tissues and organs , 2014, Nature Biotechnology.

[61]  Wojciech Matusik,et al.  MultiFab , 2015, ACM Trans. Graph..

[62]  John A. Rogers,et al.  Omnidirectional Printing of Flexible, Stretchable, and Spanning Silver Microelectrodes , 2009, Science.

[63]  Alessio Del Bue,et al.  Reconstruction of non-rigid 3D shapes from stereo-motion , 2011, Pattern Recognit. Lett..

[64]  Gwénolé Quellec,et al.  Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks , 2018, Medical Image Anal..

[65]  Jun Wang,et al.  Dynamic Reconstruction of Deformable Soft-Tissue With Stereo Scope in Minimal Invasive Surgery , 2020, IEEE Robotics and Automation Letters.

[66]  Bingheng Lu,et al.  Additive manufacturing frontier: 3D printing electronics , 2018 .

[67]  Keenan Crane,et al.  Beyond developable , 2016, ACM Trans. Graph..

[68]  A. Castellanos,et al.  Force Feedback Plays a Significant Role in Minimally Invasive Surgery: Results and Analysis , 2005, Annals of surgery.

[69]  Kyle W. Binder In situ bioprinting of the skin , 2011 .

[70]  Timothy M. Kowalewski,et al.  Online Free Anatomy Registration via Noncontact Skeletal Tracking for Collaborative Human/Robot Interaction in Surgical Robotics , 2014 .

[71]  Xuan Song,et al.  Development of a Low-Cost Parallel Kinematic Machine for Multidirectional Additive Manufacturing , 2015 .

[72]  Michael C. McAlpine,et al.  3D Printed Bionic Ears , 2013, Nano letters.

[73]  H. Rodrigues,et al.  Topology optimization of three-dimensional linear elastic structures with a constraint on “perimeter” , 1999 .

[74]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[75]  Xian Huang,et al.  High‐Performance Biodegradable/Transient Electronics on Biodegradable Polymers , 2014, Advanced materials.

[76]  Xingqian Ye,et al.  Toxicity of nano- and micro-sized silver particles in human hepatocyte cell line L02 , 2011 .

[77]  R. Samanipour,et al.  A simple and high-resolution stereolithography-based 3D bioprinting system using visible light crosslinkable bioinks , 2015, Biofabrication.

[78]  Peter Pivonka,et al.  In situ handheld three‐dimensional bioprinting for cartilage regeneration , 2018, Journal of tissue engineering and regenerative medicine.

[79]  Tao Xu,et al.  In Situ Bioprinting of Autologous Skin Cells Accelerates Wound Healing of Extensive Excisional Full-Thickness Wounds , 2019, Scientific Reports.

[80]  Brian S. Peters,et al.  Review of emerging surgical robotic technology , 2018, Surgical Endoscopy.

[81]  E. Mohammadi,et al.  Barriers and facilitators related to the implementation of a physiological track and trigger system: A systematic review of the qualitative evidence , 2017, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[82]  Xiaoyang Liu,et al.  Real-Time Geometry, Albedo, and Motion Reconstruction Using a Single RGB-D Camera , 2017, ACM Trans. Graph..

[83]  Sébastien Ourselin,et al.  Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking , 2016, CARE@MICCAI.

[84]  Andreas Geiger,et al.  Efficient Large-Scale Stereo Matching , 2010, ACCV.

[85]  Robert C. Wolpert,et al.  A Review of the , 1985 .

[86]  Takeji Sakae,et al.  Novel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopy , 2017, Radiological Physics and Technology.

[87]  Aleksandr Ovsianikov,et al.  Development of the Biopen : a handheld device for surgical printing of adipose stem cells at a chondral wound site , 2016 .

[88]  S. Van Vlierberghe,et al.  Biopolymer-based hydrogels as scaffolds for tissue engineering applications: a review. , 2011, Biomacromolecules.

[89]  Timothy P. Lodge,et al.  A Unique Platform for Materials Design , 2008, Science.

[90]  G. Caughman,et al.  Blue light differentially alters cellular redox properties. , 2005, Journal of biomedical materials research. Part B, Applied biomaterials.

[91]  Matthias Nießner,et al.  VolumeDeform: Real-Time Volumetric Non-rigid Reconstruction , 2016, ECCV.

[92]  Zichen Zhao,et al.  3D Printed Organ Models with Physical Properties of Tissue and Integrated Sensors , 2018, Advanced materials technologies.

[93]  J Malda,et al.  Bioprinting of hybrid tissue constructs with tailorable mechanical properties , 2011, Biofabrication.

[94]  Timothy F. Cootes,et al.  Statistical models of appearance for medical image analysis and computer vision , 2001, SPIE Medical Imaging.

[95]  Ali Khademhosseini,et al.  Microfabrication of complex porous tissue engineering scaffolds using 3D projection stereolithography. , 2012, Biomaterials.

[96]  T. Q. Huang,et al.  3D printing of biomimetic microstructures for cancer cell migration , 2014, Biomedical microdevices.

[97]  Kamal Youcef-Toumi,et al.  Multifunctional “Hydrogel Skins” on Diverse Polymers with Arbitrary Shapes , 2018, Advanced materials.

[98]  A. F. Adams,et al.  The Survey , 2021, Dyslexia in Higher Education.

[99]  Howon Lee,et al.  Rapid multi-material 3D printing with projection micro-stereolithography using dynamic fluidic control , 2019, Additive Manufacturing.

[100]  Daniel S. Elson,et al.  An endoscopic structured light system using multispectral detection , 2015, International Journal of Computer Assisted Radiology and Surgery.

[101]  Nassir Navab,et al.  Concurrent Segmentation and Localization for Tracking of Surgical Instruments , 2017, MICCAI.

[102]  Justin A. Blanco,et al.  Dissolvable films of silk fibroin for ultrathin conformal bio-integrated electronics. , 2010, Nature materials.

[103]  A. Hart,et al.  Conformal Robotic Stereolithography. , 2016, 3D printing and additive manufacturing.

[104]  Guang-Zhong Yang,et al.  Spectrally encoded fiber-based structured lighting probe for intraoperative 3D imaging , 2011, Biomedical optics express.

[105]  Stefanie Speidel,et al.  Learning soft tissue behavior of organs for surgical navigation with convolutional neural networks , 2019, International Journal of Computer Assisted Radiology and Surgery.

[106]  Jun Xiong,et al.  Closed-loop control of variable layer width for thin-walled parts in wire and arc additive manufacturing , 2016 .

[107]  Andrew W. Fitzgibbon,et al.  Real-time non-rigid reconstruction using an RGB-D camera , 2014, ACM Trans. Graph..

[108]  D J Mooney,et al.  Tough adhesives for diverse wet surfaces , 2017, Science.

[109]  Aaron Hertzmann,et al.  Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[110]  J. Jeekel,et al.  Mechanical strength and rheological properties of tissue adhesives with regard to colorectal anastomosis: an ex vivo study. , 2015, Annals of surgery.

[111]  Rohan Sawhney,et al.  Boundary First Flattening , 2017, ACM Trans. Graph..

[112]  Michael C. McAlpine,et al.  3D Printed Functional and Biological Materials on Moving Freeform Surfaces , 2018, Advanced materials.

[113]  Wojciech Matusik,et al.  Stochastic structural analysis for context-aware design and fabrication , 2016, ACM Trans. Graph..

[114]  Michael C. McAlpine,et al.  3D printed quantum dot light-emitting diodes. , 2014, Nano letters.

[115]  L Sirovich,et al.  Low-dimensional procedure for the characterization of human faces. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[116]  Michael C. McAlpine,et al.  3D Printed Electrically-Driven Soft Actuators. , 2018, Extreme Mechanics Letters.

[117]  DaiQionghai,et al.  Real-Time Geometry, Albedo, and Motion Reconstruction Using a Single RGB-D Camera , 2017 .

[118]  Mark A. Skylar-Scott,et al.  Voxelated soft matter via multimaterial multinozzle 3D printing , 2019, Nature.

[119]  Alessio Del Bue,et al.  Non-Rigid Metric Shape and Motion Recovery from Uncalibrated Images Using Priors , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[120]  Shan Liu,et al.  Motion prediction via online instantaneous frequency estimation for vision-based beating heart tracking , 2017, Inf. Fusion.

[121]  L. Morelli,et al.  Da Vinci single site© surgical platform in clinical practice: a systematic review , 2016, The international journal of medical robotics + computer assisted surgery : MRCAS.

[122]  Scott J. MacGregor,et al.  Exposure of 3T3 mouse Fibroblasts and Collagen to High Intensity Blue Light , 2009 .

[123]  C. Thompson,et al.  Robot-assisted endoscopic submucosal dissection versus conventional ESD for colorectal lesions: outcomes of a randomized pilot study in endoscopists without prior ESD experience (with video). , 2019, Gastrointestinal endoscopy.

[124]  Hod Lipson,et al.  Additive manufacturing for in situ repair of osteochondral defects , 2010, Biofabrication.

[125]  Tianjiao Wang,et al.  In-situ Droplet Inspection and Control System for Liquid Metal Jet 3D Printing Process , 2017 .

[126]  Tim Lane A short history of robotic surgery. , 2018, Annals of the Royal College of Surgeons of England.

[127]  Xuanhe Zhao,et al.  Stretchable Hydrogel Electronics and Devices , 2016, Advanced materials.

[128]  Shing I. Chang,et al.  Automated Process Monitoring in 3D Printing Using Supervised Machine Learning , 2018 .

[129]  Yirong Lin,et al.  Fabrication and characterization of 3D printed BaTiO3/PVDF nanocomposites , 2018 .

[130]  Geok Soon Hong,et al.  Nozzle condition monitoring in 3D printing , 2018, Robotics and Computer-Integrated Manufacturing.

[131]  T. Coradin,et al.  Sol-Gel Biopolymer/Silica Nanocomposites in Biotechnology , 2006 .

[132]  Toon Goedemé,et al.  Process Monitoring of Extrusion Based 3D Printing via Laser Scanning , 2014, ArXiv.

[133]  Nathan A. Wood,et al.  Dexterous miniature robot for advanced minimally invasive surgery , 2010, Surgical Endoscopy.

[134]  Xuanhe Zhao,et al.  Ferromagnetic soft continuum robots , 2019, Science Robotics.

[135]  K. Suganuma,et al.  Electrical functionality of inkjet-printed silver nanoparticle conductive tracks on nanostructured paper compared with those on plastic substrates , 2013 .

[136]  Joon Hyung Park,et al.  Three-dimensional printing of complex biological structures by freeform reversible embedding of suspended hydrogels , 2015, Science Advances.

[137]  U. Duvvuri,et al.  Transoral surgery using the Flex Robotic System: Initial experience in the United States , 2018, Head & neck.

[138]  Sui Pheng Low,et al.  Results and Analysis , 2020, Waste Reduction in Precast Construction.

[139]  Gamini Dissanayake,et al.  An observable time series based SLAM algorithm for deforming environment , 2019, ArXiv.

[140]  Anthony Atala,et al.  Evaluation of hydrogels for bio-printing applications. , 2013, Journal of biomedical materials research. Part A.

[141]  Yaser M. Banadaki,et al.  Smart additive manufacturing empowered by a closed-loop machine learning algorithm , 2019, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[142]  A. John Hart,et al.  Fast Desktop-Scale Extrusion Additive Manufacturing , 2017, 1709.05918.

[143]  Ming Li,et al.  Real‐time interactive MRI‐guided cardiac surgery: Aortic valve replacement using a direct apical approach , 2006, Magnetic resonance in medicine.

[144]  Kaveh G Shojania,et al.  Estimating deaths due to medical error: the ongoing controversy and why it matters , 2016, BMJ Quality & Safety.

[145]  E. Musk An Integrated Brain-Machine Interface Platform With Thousands of Channels , 2019, bioRxiv.

[146]  Meinhard Schilling,et al.  Closed loop control of slippage during filament transport in molten material extrusion , 2017 .

[147]  Philippe Cinquin,et al.  Automatic Detection of Instruments in Laparoscopic Images: A First Step Towards High-level Command of Robotic Endoscopic Holders , 2007, The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006..

[148]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[149]  Marco Nolden,et al.  Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative CT imaging , 2013, Surgical Endoscopy.

[150]  M. Pauly,et al.  Embedded deformation for shape manipulation , 2007, SIGGRAPH 2007.

[151]  Xu Ni,et al.  Flexible and wearable 3D graphene sensor with 141 KHz frequency signal response capability , 2017 .

[152]  Xuanhe Zhao,et al.  Dry double-sided tape for adhesion of wet tissues and devices , 2019, Nature.

[153]  Huajian Teng,et al.  In situ repair of bone and cartilage defects using 3D scanning and 3D printing , 2017, Scientific Reports.

[154]  Yayue Pan,et al.  An integrated CNC accumulation system for automatic building-around-inserts , 2013 .

[155]  J. Jett,et al.  Use of xantham gum to suspend large particles during flow cytometric analysis and sorting. , 1989, Cytometry.

[156]  Ruitao Su,et al.  3D Printed Polymer Photodetectors , 2018, Advanced materials.

[157]  W. Matusik,et al.  Computational discovery of extremal microstructure families , 2018, Science Advances.

[158]  Xuanhe Zhao,et al.  Hydrogel bioelectronics. , 2019, Chemical Society reviews.

[159]  S. Fang,et al.  Antibacterial Mechanisms of Polymyxin and Bacterial Resistance , 2015, BioMed research international.

[160]  Hongliang Ren,et al.  Multi-modal PixelNet for Brain Tumor Segmentation , 2017, BrainLes@MICCAI.

[161]  Kiril Hristovski,et al.  The release of nanosilver from consumer products used in the home. , 2010, Journal of environmental quality.

[162]  I. Kron,et al.  A prospectus on tissue adhesives. , 2001, American journal of surgery.

[163]  Satnam Singh,et al.  In situ Bioprinting - Bioprinting from Benchside to Bedside? , 2019, Acta biomaterialia.

[164]  S. Dwivedi,et al.  Obesity May Be Bad: Compressed Convolutional Networks for Biomedical Image Segmentation , 2020 .

[165]  Nassir Navab,et al.  Real-time localization of articulated surgical instruments in retinal microsurgery , 2016, Medical Image Anal..

[166]  Wayne E. Carlson,et al.  Shape transformation for polyhedral objects , 1992, SIGGRAPH.

[167]  Corie Lynn Cobb,et al.  3D Printing Ionogel Auxetic Frameworks for Stretchable Sensors , 2019, Advanced Materials Technologies.

[168]  Neel Doshi,et al.  The milliDelta: A high-bandwidth, high-precision, millimeter-scale Delta robot , 2018, Science Robotics.

[169]  Andrew L Beers,et al.  ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI , 2018, Front. Neurol..

[170]  Andrew L. Ferguson,et al.  Machine learning and data science in soft materials engineering , 2018, Journal of physics. Condensed matter : an Institute of Physics journal.

[171]  Enrica Briganti,et al.  Cyanoacrylate surgical glue as an alternative to suture threads for mesh fixation in hernia repair. , 2010, The Journal of surgical research.

[172]  Sebastien G M Uzel,et al.  Biomanufacturing of organ-specific tissues with high cellular density and embedded vascular channels , 2019, Science Advances.

[173]  J. Lewis,et al.  Conformal Printing of Electrically Small Antennas on Three‐Dimensional Surfaces , 2011, Advanced materials.

[174]  Aaron Hertzmann,et al.  Automatic Non-rigid 3D Modeling from Video , 2004, ECCV.

[175]  Adrien Bartoli,et al.  DefSLAM: Tracking and Mapping of Deforming Scenes From Monocular Sequences , 2019, IEEE Transactions on Robotics.

[176]  S. Krishnan,et al.  Transoral robotic surgery using the Medrobotic Flex® system: the Adelaide experience , 2020, Journal of robotic surgery.

[177]  Timothy M. Kowalewski,et al.  Blended shared control utilizing online identification , 2018, International Journal of Computer Assisted Radiology and Surgery.

[178]  Hongliang Ren,et al.  Real-Time Instrument Segmentation in Robotic Surgery Using Auxiliary Supervised Deep Adversarial Learning , 2019, IEEE Robotics and Automation Letters.

[179]  J. M. M. Montiel,et al.  3D Reconstruction of Non-Rigid Surfaces in Real-Time Using Wedge Elements , 2012, ECCV Workshops.

[180]  A. Ahluwalia,et al.  Engineering hydrogel viscoelasticity. , 2019, Journal of the mechanical behavior of biomedical materials.

[181]  I. Frank,et al.  Initial Experience with da Vinci Single-port Robot-assisted Radical Prostatectomies. , 2020, European urology.

[182]  J. R. Raney,et al.  Hybrid 3D Printing of Soft Electronics , 2017, Advanced materials.

[183]  Elizabeth A. Holm,et al.  Computer Vision and Machine Learning for Autonomous Characterization of AM Powder Feedstocks , 2016, JOM.

[184]  Michael C. McAlpine,et al.  3D Printed Anatomical Nerve Regeneration Pathways , 2015, Advanced functional materials.

[185]  Fabien Guillemot,et al.  In vivo bioprinting for computer- and robotic-assisted medical intervention: preliminary study in mice , 2010, Biofabrication.

[186]  S. Magdassi,et al.  Conductive nanomaterials for 2D and 3D printed flexible electronics. , 2019, Chemical Society reviews.

[187]  J. Kaouk,et al.  A novel robotic system for single-port urologic surgery: first clinical investigation. , 2014, European urology.

[188]  Christoph Schmalz,et al.  An endoscopic 3D scanner based on structured light , 2012, Medical Image Anal..

[189]  Michael C. McAlpine,et al.  3D Printed Stem‐Cell Derived Neural Progenitors Generate Spinal Cord Scaffolds , 2018, Advanced functional materials.

[190]  Luc Soler,et al.  Autonomous 3-D positioning of surgical instruments in robotized laparoscopic surgery using visual servoing , 2003, IEEE Trans. Robotics Autom..

[191]  Ho-Chan Kim,et al.  Development of DMD-based micro-stereolithography apparatus for biodegradable multi-material micro-needle fabrication , 2013 .

[192]  Konstantinos Kamnitsas,et al.  Efficient multi‐scale 3D CNN with fully connected CRF for accurate brain lesion segmentation , 2016, Medical Image Anal..

[193]  Charlie C. L. Wang,et al.  Support-free volume printing by multi-axis motion , 2018, ACM Trans. Graph..

[194]  Z. M. Yusof,et al.  Review on Three-Dimensional ( 3-D ) Acquisition and Range Imaging Techniques , 2017 .

[195]  Daniel M. Vogt,et al.  Soft Somatosensitive Actuators via Embedded 3D Printing , 2018, Advanced materials.

[196]  Nassir Navab,et al.  Deep Residual Learning for Instrument Segmentation in Robotic Surgery , 2017, MLMI@MICCAI.

[197]  A. Khademhosseini,et al.  Elastic sealants for surgical applications. , 2015, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

[198]  A. DeSimone,et al.  Shape Programming for Narrow Ribbons of Nematic Elastomers , 2016, 1603.02088.

[199]  S Vijayavenkataraman,et al.  3D bioprinting of skin: a state-of-the-art review on modelling, materials, and processes , 2016, Biofabrication.

[200]  Yuncheng You,et al.  Video‐based 3D reconstruction, laparoscope localization and deformation recovery for abdominal minimally invasive surgery: a survey , 2016, The international journal of medical robotics + computer assisted surgery : MRCAS.

[201]  Michael C. McAlpine,et al.  In Situ Expansion, Differentiation, and Electromechanical Coupling of Human Cardiac Muscle in a 3D Bioprinted, Chambered Organoid , 2020, Circulation research.