Artificial intelligence in clinical decision support: a focused literature survey
Objectives: This survey analyses the latest literature contributions to clinical decision support
systems (DSSs) on a two-year period (2017-2018), focusing on the approaches that adopt …
systems (DSSs) on a two-year period (2017-2018), focusing on the approaches that adopt …
A review on experimental and numerical investigations of cortical bone fracture
This paper comprehensively reviews the various experimental and numerical techniques,
which were considered to determine the fracture characteristics of the cortical bone. This …
which were considered to determine the fracture characteristics of the cortical bone. This …
A multi-scale data fusion framework for bone age assessment with convolutional neural networks
Bone age assessment (BAA) has various clinical applications such as diagnosis of
endocrine disorders and prediction of final adult height for adolescents. Recent studies …
endocrine disorders and prediction of final adult height for adolescents. Recent studies …
The use of deep learning algorithms to predict mechanical strain from linear acceleration and angular rates of motion recorded from a horse hoof during exercise
S Mouloodi, H Rahmanpanah, C Martin… - International Journal of …, 2022 - Elsevier
Mobility solutions offered by living creatures have inspired engineers to capture their
locomotion patterns and then develop novel animal-like robots that use legs for locomotion …
locomotion patterns and then develop novel animal-like robots that use legs for locomotion …
[HTML][HTML] Three-stage intelligent support of clinical decision making for higher trust, validity, and explainability
The paper presents a conceptual framework for building practically applicable clinical
decision support systems (CDSSs) using data-driven (DD) predictive modelling. With the …
decision support systems (CDSSs) using data-driven (DD) predictive modelling. With the …
Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective
In the past three decades, biomedical engineering has emerged as a significant and rapidly
growing field across various disciplines. From an engineering perspective, biomaterials …
growing field across various disciplines. From an engineering perspective, biomaterials …
Openmandible: An open-source framework for highly realistic numerical modelling of lower mandible physiology
AM Vukicevic, K Zelic, D Milasinovic… - Dental Materials, 2021 - Elsevier
Objective Computer modeling of lower mandible physiology remains challenging because
prescribing realistic material characteristics and boundary conditions from medical scans …
prescribing realistic material characteristics and boundary conditions from medical scans …
An artificial neural network algorithm for the evaluation of postoperative rehabilitation of patients
K Tang, R Luo, S Zhang - Journal of Healthcare Engineering, 2021 - Wiley Online Library
In order to explore the application of artificial neural network in rehabilitation evaluation, a
kind of ANN stable and reliable artificial intelligence algorithm is proposed. By learning the …
kind of ANN stable and reliable artificial intelligence algorithm is proposed. By learning the …
Horizontal Alveolar Ridge Splitting and Expansion
D Flanagan - Journal of Oral Implantology, 2024 - meridian.allenpress.com
When considering placing dental implants in atrophic edentulous sites, there may be
inadequate site width and little or no vertical bone loss. Any of several surgical procedures …
inadequate site width and little or no vertical bone loss. Any of several surgical procedures …
How artificial intelligence and machine learning is assisting us to extract meaning from data on bone mechanics?
Dramatic advancements in interdisciplinary research with the fourth paradigm of science,
especially the implementation of computer science, nourish the potential for artificial …
especially the implementation of computer science, nourish the potential for artificial …