The field of prosthetic limbs has advanced significantly with the integration of artificial intelligence technologies, enabling the development of smart prosthetics capable of closely mimicking natural human movements. Modern prosthetic devices are no longer purely mechanical tools; instead, they function as intelligent systems that process biological signals and motion data to make real-time adaptive decisions based on the user’s activity and environment. Smart prosthetic limbs rely on machine learning algorithms to analyze electromyography (EMG) signals generated by residual muscles and convert them into precise movement commands. Deep learning techniques are also employed to recognize different motion patterns such as walking, climbing stairs, and running, allowing the prosthetic device to automatically adjust to various activities. Advanced sensor systems provide real-time feedback to enhance balance and control. Innovative solutions have been developed by companies such as Össur, which incorporate intelligent sensing technologies to improve user experience. Researchers at institutions like Massachusetts Institute of Technology are also working on AI-driven prosthetic systems capable of continuous learning from user behavior. Artificial intelligence significantly enhances the quality of life for individuals with limb loss by increasing independence and reducing physical effort. However, challenges remain, including high production costs, signal accuracy limitations, and cybersecurity concerns for connected medical devices. Achieving seamless integration between the nervous system and prosthetic devices continues to be an active research area. Nevertheless, AI represents a transformative step toward more adaptive, intelligent, and human-centered prosthetic technologies.