Next-gen medical devices combine traditional medical equipment with advanced software and technologies like AI, machine learning (ML), robotics, and sophisticated sensors. These devices are becoming smarter and smaller, offering new features that support patient diagnosis, treatment, and monitoring. They aim to provide better security, safety, and integration with clinical workflows and improved data management and patient experience.

These devices can be categorized into diagnostic, treatment, and monitoring tools. Diagnostic devices use AI and other technologies for precise and early disease detection; treatment devices employ AI and robotics for personalized care and less invasive procedures; and monitoring devices use smart sensors and the Internet of Medical Things (IoMT) to track vital signs continuously.

The demand for these advanced medical devices is growing due to several factors. The increase in chronic diseases, especially among older populations, creates a need for innovative solutions. The shortage of healthcare workers drives the adoption of technologies that can enhance efficiencies. Additionally, the high cost of healthcare, particularly in the US, is encouraging the use of devices that can optimize resources and cost-effectively improve patient outcomes. However, challenges such as FDA approval processes and integration with legacy healthcare systems must be addressed.