Medical Imaging and Analysis of Thermal Necrosis During Bone Grinding: Implementation of Non-dominated Sorting Genetic Algorithm (NSGA-III) in Healthcare.
Atul BabbarVivek JainDheeraj GuptaVidyapati KumarBhargav Prajwal PathriAnkit SharmaPublished in: Current medical imaging (2024)
The study revealed that compared to the initial scenario, NSGA-III can produce better results without compromising the trial results. According to a statistical study, the rise in temperature during bone grinding was significantly influenced by rotating speed. The density of osteocytes in the lacunas was higher at lower temperatures. Furthermore, the results of surface electron microscopy and energy dispersive spectroscopy revealed the presence of bone over the surface of the grinding burr, which resulted in the loading of the grinding burr. The results of the present investigation will be beneficial for researchers and clinical practitioners worldwide.
Keyphrases
- healthcare
- bone mineral density
- primary care
- high resolution
- soft tissue
- machine learning
- electron microscopy
- clinical trial
- deep learning
- bone loss
- gene expression
- randomized controlled trial
- quality improvement
- ionic liquid
- bone regeneration
- single molecule
- mass spectrometry
- body composition
- phase ii
- copy number
- neural network
- health information
- placebo controlled