“Increasing Integration of Artificial Intelligence (AI) and Machine Learning (ML)”
A notable trend in the energy-based devices market is the increasing integration of artificial intelligence (AI) and machine learning (ML) to enhance treatment precision and patient outcomes. AI-driven technologies are revolutionizing how energy-based devices, such as laser and ultrasound devices, analyze patient data, allowing for personalized treatment plans that improve effectiveness and safety. For instance, Cynosure’s recent merger with Lutronic aims to combine their expertise in energy-based medical aesthetic systems with advanced AI capabilities, creating smarter devices that adapt to individual patient needs. This trend streamlines the treatment process and enhances the overall patient experience, as clinicians can make data-driven decisions in real time. As healthcare continues to prioritize patient-centric approaches, the incorporation of AI and ML in energy-based devices will likely play a crucial role in advancing the market, driving innovation, and meeting the rising demand for efficient and effective aesthetic and therapeutic solutions.
