Laparoscopic-endoscopic cooperative surgery (LECS) for gastric tumors, characterized by the synergistic integration of laparoscopy and digestive endoscopy, successfully overcomes the inherent limitations of standalone minimally invasive techniques. It enables precise lesion localization, targeted local resection, and maximum preservation of gastric function for early gastric cancer (EGC) and gastric submucosal tumors, thereby becoming a pivotal direction in minimally invasive gastric surgery. Recently, the continuous incorporation of cutting-edge technologies, such as artificial intelligence (AI)-assisted recognition, intraoperative image navigation, robotic surgical platforms, fluorescence imaging, and novel stapling/sewing instruments, into the LECS framework has propelled the diagnostic and therapeutic paradigms toward an intelligentized and digitalized era. This transformation not only improves the accuracy and safety of determining resection margins of primary lesions, identifying lymph node metastasis, and reconstructing complex wounds, but also extends integrated care to postoperative remote follow up through wearable devices. Despite its promising prospects, the full clinical translation of intelligent LECS platforms still faces numerous challenges.