What are the applications and limitations of artificial intelligence for fracture detection and classification in orthopaedic trauma imaging? A systematic review

DWG Langerhuizen, SJ Janssen… - Clinical Orthopaedics …, 2019 - journals.lww.com
Background Artificial-intelligence algorithms derive rules and patterns from large amounts of
data to calculate the probabilities of various outcomes using new sets of similar data. In …

[HTML][HTML] AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine

T Habuza, AN Navaz, F Hashim, F Alnajjar… - Informatics in Medicine …, 2021 - Elsevier
Background AI in healthcare has been recognized by both academia and industry in
revolutionizing how healthcare services will be offered by healthcare service providers and …

The nanoformula of zoledronic acid and calcium carbonate targets osteoclasts and reverses osteoporosis

F Jia, L Ruan, C Du, Y Liu, X Cai, R Dou, J Zhang… - Biomaterials, 2023 - Elsevier
Osteoporosis is known as an imbalance in bone catabolism and anabolism. Overactive
bone resorption causes bone mass loss and increased incidence of fragility fractures …

Automated detection and classification of acute vertebral body fractures using a convolutional neural network on computed tomography

J Zhang, F Liu, J Xu, Q Zhao, C Huang, Y Yu… - Frontiers in …, 2023 - frontiersin.org
Background Acute vertebral fracture is usually caused by low-energy injury with
osteoporosis and high-energy trauma. The AOSpine thoracolumbar spine injury …

Deep convolutional networks for automated detection of posterior-element fractures on spine CT

HR Roth, Y Wang, J Yao, L Lu… - Medical imaging …, 2016 - spiedigitallibrary.org
Injuries of the spine, and its posterior elements in particular, are a common occurrence in
trauma patients, with potentially devastating consequences. Computer-aided detection …

Artificial intelligence in musculoskeletal imaging: a paradigm shift

JE Burns, J Yao, RM Summers - Journal of Bone and Mineral …, 2020 - academic.oup.com
Artificial intelligence is upending many of our assumptions about the ability of computers to
detect and diagnose diseases on medical images. Deep learning, a recent innovation in …

[HTML][HTML] Potential role of artificial intelligence in craniofacial surgery

JY Ryu, HY Chung, KY Choi - Archives of Craniofacial Surgery, 2021 - ncbi.nlm.nih.gov
The field of artificial intelligence (AI) is rapidly advancing, and AI models are increasingly
applied in the medical field, especially in medical imaging, pathology, natural language …

CORR synthesis: when should the orthopaedic surgeon use artificial intelligence, machine learning, and deep learning?

MP Murphy, NM Brown - Clinical Orthopaedics and Related …, 2021 - journals.lww.com
Artificial intelligence (AI) is a term coined by John McCarthy, a computer scientist who spent
most of his career at Stanford University where he received many awards and honors …

[HTML][HTML] Future of Artificial Intelligence in Surgery: A Narrative Review

A Amin, SA Cardoso, J Suyambu, HA Saboor… - Cureus, 2024 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is the capability of a machine to execute cognitive processes that
are typically considered to be functions of the human brain. It is the study of algorithms that …

Analysis of factors influencing the intravertebral shell phenomenon after posterior reduction internal fixation of thoracolumbar fracture: a retrospective study

Y Fang, S Zhang, Y Ye, K Chen, G Ling… - BMC Musculoskeletal …, 2024 - Springer
Study design A retrospective study. Purpose The study objectives were as follows: 1) to
analyze the factors influencing the occurrence of the intravertebral shell phenomenon (ISP) …