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 human-computer 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.