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Design, Optimization, and Experimental Validation of a 3D-Printed Tympanostomy Tube Using Neural Networks and Simulated Annealing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. This study presents a data-driven framework for optimizing tympanostomy tube design to enhance fluid drainage efficiency and reduce drainage duration. Current commercial tubes often show inconsistent performance ...
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