| dc.description.abstract | This review paper explores the application
of artificial intelligence (AI) in advanced prosthetic
devices, including limbs, retinal prosthetics, hearing
prosthetics, and ortho dental prosthetics, with the aim
of enhancing functionality and customization. The
research problem centers around understanding AI's
forthcoming impact on prosthetic advancements. The
study's objectives are twofold: to identify current AI
applications in prosthetics and to project future
possibilities. The paper uses qualitative secondary
analysis to review existing research. By leveraging AI
algorithms, prosthetic limbs can interpret nerve
signals derived from the patient's muscles, resulting in
more precise control and operation. AI-driven
advancements include myoelectric prostheses that
utilize electromyography signals, bionic legs that
adapt to different environments based on user
feedback, and prosthetic arms capable of executing
actions using computer vision recognition.
Additionally, AI improves retinal prosthetics by
combining neural networks with computer vision
techniques to refine facial features, enhance
environmental representation, and ensure safety. In
hearing prosthetics, AI, machine learning, and neural
networks enable devices to adapt to individual hearing
needs and background noise environments. AI-based
object detection techniques streamline dental implant
surgery in ortho dental prosthetics. The integration of
AI in prosthetic devices holds the potential to enhance
functionality, improve control and customization, and
provide a more natural user experience, benefiting
millions worldwide with limb amputations, vision and
hearing impairments, and dental prosthetic needs. | en_US |
