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Recent advancements in deep learning have significantly transformed the field of human action recognition (HAR), enabling the development of sophisticated systems that accurately interpret human ...
Melkani envisions using deep learning-assisted studies to explore cardiac mutation models and other small animal models, such as zebrafish and mice. “Additionally, our techniques could be adapted for ...
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Health eCareers on MSNThe Role of AI in Streamlining Healthcare Operations and Reducing Errors
Artificial intelligence (AI) is gaining a foothold in healthcare. Algorithms that use machine learning, deep learning, and ...
The proposed deep learning–based approach for body composition analysis demonstrated comparable performance to the manual process, presenting a more cost-effective alternative to conventional methods.
A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors. The successful use of imitation learning to train ...
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