A review on machine learning in 3D printing: applications, potential, and challenges

GD Goh, SL Sing, WY Yeong - Artificial Intelligence Review, 2021 - Springer
Additive manufacturing (AM) or 3D printing is growing rapidly in the manufacturing industry
and has gained a lot of attention from various fields owing to its ability to fabricate parts with …

CT image segmentation methods for bone used in medical additive manufacturing

M Van Eijnatten, R van Dijk, J Dobbe… - Medical engineering & …, 2018 - Elsevier
Aim of the study The accuracy of additive manufactured medical constructs is limited by
errors introduced during image segmentation. The aim of this study was to review the …

Artificial intelligence in musculoskeletal imaging: current status and future directions

S Gyftopoulos, D Lin, F Knoll… - American Journal of …, 2019 - Am Roentgen Ray Soc
OBJECTIVE. The objective of this article is to show how artificial intelligence (AI) has
impacted different components of the imaging value chain thus far as well as to describe its …

Current progress in patient-specific modeling

ML Neal, R Kerckhoffs - Briefings in bioinformatics, 2010 - academic.oup.com
We present a survey of recent advancements in the emerging field of patient-specific
modeling (PSM). Researchers in this field are currently simulating a wide variety of tissue …

A review on the application of deep learning for CT reconstruction, bone segmentation and surgical planning in oral and maxillofacial surgery

J Minnema, A Ernst, M van Eijnatten… - Dentomaxillofacial …, 2022 - academic.oup.com
Computer-assisted surgery (CAS) allows clinicians to personalize treatments and surgical
interventions and has therefore become an increasingly popular treatment modality in …

Cascaded statistical shape model based segmentation of the full lower limb in CT

EA Audenaert, J Van Houcke, DF Almeida… - Computer methods in …, 2019 - Taylor & Francis
Image segmentation has become an important tool in orthopedic and biomechanical
research. However, it greatly remains a time-consuming and laborious task. In this …

Effects of CT image segmentation methods on the accuracy of long bone 3D reconstructions

K Rathnayaka, T Sahama, MA Schuetz… - Medical engineering & …, 2011 - Elsevier
An accurate and accessible image segmentation method is in high demand for generating
3D bone models from CT scan data, as such models are required in many areas of medical …

IA-FEMesh: an open-source, interactive, multiblock approach to anatomic finite element model development

NM Grosland, KH Shivanna, VA Magnotta… - Computer methods and …, 2009 - Elsevier
Finite element (FE) analysis is a valuable tool in musculoskeletal research. The demands
associated with mesh development, however, often prove daunting. In an effort to facilitate …

[HTML][HTML] The accuracy of clinical 3D printing in reconstructive surgery: literature review and in vivo validation study

MP Chae, RD Chung, JA Smith, DJ Hunter-Smith… - Gland …, 2021 - ncbi.nlm.nih.gov
A growing number of studies demonstrate the benefits of 3D printing in improving surgical
efficiency and subsequently clinical outcomes. However, the number of studies evaluating …

Texture analysis of paraspinal musculature in MRI of the lumbar spine: analysis of the lumbar stenosis outcome study (LSOS) data

M Mannil, JM Burgstaller, A Thanabalasingam… - Skeletal radiology, 2018 - Springer
Objective To evaluate association of fatty infiltration in paraspinal musculature with clinical
outcomes in patients suffering from lumbar spinal stenosis (LSS) using qualitative and …