[HTML][HTML] A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta …
Background Deep learning offers considerable promise for medical diagnostics. We aimed
to evaluate the diagnostic accuracy of deep learning algorithms versus health-care …
to evaluate the diagnostic accuracy of deep learning algorithms versus health-care …
[HTML][HTML] Artificial intelligence in health care: current applications and issues
In recent years, artificial intelligence (AI) technologies have greatly advanced and become a
reality in many areas of our daily lives. In the health care field, numerous efforts are being …
reality in many areas of our daily lives. In the health care field, numerous efforts are being …
[HTML][HTML] Automated acquisition of explainable knowledge from unannotated histopathology images
Y Yamamoto, T Tsuzuki, J Akatsuka, M Ueki… - Nature …, 2019 - nature.com
Deep learning algorithms have been successfully used in medical image classification. In
the next stage, the technology of acquiring explainable knowledge from medical images is …
the next stage, the technology of acquiring explainable knowledge from medical images is …
Artificial intelligence in spine care: current applications and future utility
AL Hornung, CM Hornung, GM Mallow… - European spine …, 2022 - Springer
Purpose The field of artificial intelligence is ever growing and the applications of machine
learning in spine care are continuously advancing. Given the advent of the intelligence …
learning in spine care are continuously advancing. Given the advent of the intelligence …
Deep learning for lesion detection, progression, and prediction of musculoskeletal disease
Deep learning is one of the most exciting new areas in medical imaging. This review article
provides a summary of the current clinical applications of deep learning for lesion detection …
provides a summary of the current clinical applications of deep learning for lesion detection …
[HTML][HTML] Learning physical properties of liquid crystals with deep convolutional neural networks
Abstract Machine learning algorithms have been available since the 1990s, but it is much
more recently that they have come into use also in the physical sciences. While these …
more recently that they have come into use also in the physical sciences. While these …
[HTML][HTML] An application of artificial intelligence to diagnostic imaging of spine disease: estimating spinal alignment from Moiré images
K Watanabe, Y Aoki, M Matsumoto - Neurospine, 2019 - ncbi.nlm.nih.gov
The use of artificial intelligence (AI) as a tool supporting the diagnosis and treatment of
spinal diseases is eagerly anticipated. In the field of diagnostic imaging, the possible …
spinal diseases is eagerly anticipated. In the field of diagnostic imaging, the possible …
The role of Artificial intelligence in the assessment of the spine and spinal cord
T Martín-Noguerol, MO Miranda, TJ Amrhein… - European Journal of …, 2023 - Elsevier
Artificial intelligence (AI) application development is underway in all areas of radiology
where many promising tools are focused on the spine and spinal cord. In the past decade …
where many promising tools are focused on the spine and spinal cord. In the past decade …
[HTML][HTML] Current development and prospects of deep learning in spine image analysis: a literature review
B Qu, J Cao, C Qian, J Wu, J Lin, L Wang… - … Imaging in Medicine …, 2022 - ncbi.nlm.nih.gov
Methods A systematic literature search was conducted in the PubMed and Web of Science
databases using the keywords “deep learning” and “spine”. Date ranges used to conduct the …
databases using the keywords “deep learning” and “spine”. Date ranges used to conduct the …
[HTML][HTML] A review on the use of artificial intelligence in spinal diseases
Artificial neural networks (ANNs) have been used in a wide variety of real-world applications
and it emerges as a promising field across various branches of medicine. This review aims …
and it emerges as a promising field across various branches of medicine. This review aims …