[Retracted] Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches
Knee osteoarthritis (OA) is a deliberating joint disorder characterized by cartilage loss that
can be captured by imaging modalities and translated into imaging features. Observing …
can be captured by imaging modalities and translated into imaging features. Observing …
The value of deep learning-based X-ray techniques in detecting and classifying KL grades of knee osteoarthritis: a systematic review and meta-analysis
H Zhao, L Ou, Z Zhang, L Zhang, K Liu, J Kuang - European Radiology, 2025 - Springer
Objectives Knee osteoarthritis (KOA), a prevalent degenerative joint disease, is primarily
diagnosed through X-ray imaging. The Kellgren-Lawrence grading system (KL) is the gold …
diagnosed through X-ray imaging. The Kellgren-Lawrence grading system (KL) is the gold …
DeepFake knee osteoarthritis X-rays from generative adversarial neural networks deceive medical experts and offer augmentation potential to automatic classification
Recent developments in deep learning have impacted medical science. However, new
privacy issues and regulatory frameworks have hindered medical data sharing and …
privacy issues and regulatory frameworks have hindered medical data sharing and …
A case study on the effect of light and colors in the built environment on autistic children's behavior
Background The importance of strategies and services by caregivers and family members
substantially impact the psychological and emotional wellbeing of autistic children. The …
substantially impact the psychological and emotional wellbeing of autistic children. The …
Artificial intelligence-assisted air quality monitoring for smart city management
Background The environment has been significantly impacted by rapid urbanization, leading
to a need for changes in climate change and pollution indicators. The 4IR offers a potential …
to a need for changes in climate change and pollution indicators. The 4IR offers a potential …
Technological advancements and elucidation gadgets for Healthcare applications: An exhaustive methodological review-part-I (AI, big data, block chain, open-source …
In the realm of the emergence and spread of infectious diseases with pandemic potential
throughout the history, plenty of pandemics (and epidemics), from the plague to AIDS (1981) …
throughout the history, plenty of pandemics (and epidemics), from the plague to AIDS (1981) …
Occupational injury risk mitigation: machine learning approach and feature optimization for smart workplace surveillance
Forecasting the severity of occupational injuries shall be all industries' top priority. The use
of machine learning is theoretically valuable to assist the predictive analysis, thus, this study …
of machine learning is theoretically valuable to assist the predictive analysis, thus, this study …
Epidemiology of osteoarthritis: literature update 2022–2023
Continuing efforts to expand our knowledge around OA in understudied populations will
allow for the creation of targeted and specific interventions and inform policy changes aimed …
allow for the creation of targeted and specific interventions and inform policy changes aimed …
A review of emergent intelligent systems for the detection of Parkinson's disease
S Dhanalakshmi, RS Maanasaa, RS Maalikaa… - Biomedical Engineering …, 2023 - Springer
Parkinson's disease (PD) is a neurodegenerative disorder affecting people worldwide. The
PD symptoms are divided into motor and non-motor symptoms. Detection of PD is very …
PD symptoms are divided into motor and non-motor symptoms. Detection of PD is very …
Stratifying knee osteoarthritis features through multitask deep hybrid learning: data from the osteoarthritis initiative
Background and objective Knee osteoarthritis (OA) is a debilitating musculoskeletal disorder
that causes functional disability. Automatic knee OA diagnosis has great potential of …
that causes functional disability. Automatic knee OA diagnosis has great potential of …