The extensive application of autonomous devices based on triboelectric nanogenerators (TENGs) has shown promising results for medical recovery. These TENG-integrated sensors can collect patient data over extended periods, providing reliable information on a variety of physiological indicators, which are instrumental for artificial intelligence (AI) applications. Analyses of AI outcomes suggest that TENG-based devices possess significant potential within medical recovery systems. This paper explores the potential uses of wearable, patch, implantable, and noncontact TENGs across clinical therapy, electrical stimulation recovery, anti-inflammatory treatments, medication administration and detection, and rehabilitation support. Currently, TENG applications, which synergize artificial intelligence and humancomputer interaction, are predominantly focused on medical recovery. In the realm of medical rehabilitation, AI-driven TENG systems are anticipated to be considered for implementation and are expected to play a crucial role in the future.