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Deep learning for smart Healthcare—A survey on brain tumor detection from medical imaging
Advances in technology have been able to affect all aspects of human life. For example, the
use of technology in medicine has made significant contributions to human society. In this …
use of technology in medicine has made significant contributions to human society. In this …
Clinical applications of artificial intelligence—an updated overview
Artificial intelligence has the potential to revolutionize modern society in all its aspects.
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …
Using a Google web search analysis to assess the utility of ChatGPT in total joint arthroplasty
JA Dubin, SS Bains, Z Chen, D Hameed, J Nace… - The Journal of …, 2023 - Elsevier
Background Rapid technological advancements have laid the foundations for the use of
artificial intelligence in medicine. The promise of machine learning (ML) lies in its potential …
artificial intelligence in medicine. The promise of machine learning (ML) lies in its potential …
[HTML][HTML] Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion
Deep learning (DL) in orthopaedics has gained significant attention in recent years.
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …
Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks …
Applications of artificial intelligence in orthopaedic surgery
F Farhadi, MR Barnes, HR Sugito, JM Sin… - Frontiers in medical …, 2022 - frontiersin.org
The practice of medicine is rapidly transforming as a result of technological breakthroughs.
Artificial intelligence (AI) systems are becoming more and more relevant in medicine and …
Artificial intelligence (AI) systems are becoming more and more relevant in medicine and …
Artificial intelligence in emergency radiology: where are we going?
M Cellina, M Cè, G Irmici, V Ascenti, E Caloro… - Diagnostics, 2022 - mdpi.com
Emergency Radiology is a unique branch of imaging, as rapidity in the diagnosis and
management of different pathologies is essential to saving patients' lives. Artificial …
management of different pathologies is essential to saving patients' lives. Artificial …
Current applications and future directions of deep learning in musculoskeletal radiology
P Chea, JC Mandell - Skeletal radiology, 2020 - Springer
Deep learning with convolutional neural networks (CNN) is a rapidly advancing subset of
artificial intelligence that is ideally suited to solving image-based problems. There are an …
artificial intelligence that is ideally suited to solving image-based problems. There are an …
[HTML][HTML] Radiomics for classification of bone mineral loss: a machine learning study
S Rastegar, M Vaziri, Y Qasempour, MR Akhash… - Diagnostic and …, 2020 - Elsevier
Purpose The purpose of this study was to develop predictive models to classify
osteoporosis, osteopenia and normal patients using radiomics and machine learning …
osteoporosis, osteopenia and normal patients using radiomics and machine learning …
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 …
Visual interpretable MRI fine grading of meniscus injury for intelligent assisted diagnosis and treatment
Meniscal injury represents a common type of knee injury, accounting for over 50% of all
knee injuries. The clinical diagnosis and treatment of meniscal injury heavily rely on …
knee injuries. The clinical diagnosis and treatment of meniscal injury heavily rely on …