Embedded systems have significantly transformed healthcare in the United States by enhancing patient care, diagnostics, and treatment. These systems, integrated into medical devices, enable real-time monitoring, automated drug delivery, and precise control, improving healthcare efficiency and safety. The review highlights the impact of embedded systems in various applications, including wearable devices, imaging equipment, and implantable devices. The FDA regulates medical devices, ensuring safety and efficacy through stringent standards. Challenges include cybersecurity risks and interoperability issues, necessitating robust security measures and standardized protocols. The integration of AI, data analytics, and connectivity in embedded systems allows for real-time patient data access, enabling timely interventions and personalized treatment. Case studies demonstrate the positive impact of embedded systems on medical breakthroughs and patient outcomes. However, challenges such as data breaches and non-consented device use require attention. Technological advancements, including AI and edge computing, are enhancing medical devices' capabilities. Future trends emphasize the need for standardized interoperability, cybersecurity, and continued research to optimize embedded systems for improved healthcare outcomes. The review underscores the importance of balancing innovation with safety, ensuring embedded systems contribute to better patient care and medical technology.Embedded systems have significantly transformed healthcare in the United States by enhancing patient care, diagnostics, and treatment. These systems, integrated into medical devices, enable real-time monitoring, automated drug delivery, and precise control, improving healthcare efficiency and safety. The review highlights the impact of embedded systems in various applications, including wearable devices, imaging equipment, and implantable devices. The FDA regulates medical devices, ensuring safety and efficacy through stringent standards. Challenges include cybersecurity risks and interoperability issues, necessitating robust security measures and standardized protocols. The integration of AI, data analytics, and connectivity in embedded systems allows for real-time patient data access, enabling timely interventions and personalized treatment. Case studies demonstrate the positive impact of embedded systems on medical breakthroughs and patient outcomes. However, challenges such as data breaches and non-consented device use require attention. Technological advancements, including AI and edge computing, are enhancing medical devices' capabilities. Future trends emphasize the need for standardized interoperability, cybersecurity, and continued research to optimize embedded systems for improved healthcare outcomes. The review underscores the importance of balancing innovation with safety, ensuring embedded systems contribute to better patient care and medical technology.