Letter to the Editor: Reconsidering relevance of endoscopic ultrasound-guided radiofrequency ablation in pancreatic cancer treatment: Future perspectives on artificial intelligence.

Despite advances in curative and technological approaches, pancreatic cancer (PC) remains a major global health challenge. In the majority of cases, PC is diagnosed at an advanced stage and/or in patients with significant comorbidities, which limits treatment options, including the feasibility of surgical resection. To address these challenges, endoscopic ultrasound-guided radiofrequency ablation (EUS-RFA) has emerged as a promising approach, although its outcomes remain debatable. Tong et al highlighted the role of EUS-RFA in PC treatment in their recent review. Furthermore, the existing literature lacks sufficient evidence regarding post-treatment outcomes, comparative assessments through multi-arm studies, and survival benefits. The exploration of artificial intelligence may potentially assist in optimizing radiofrequency ablation parameters, reducing operator dependency and inter-operator variability, thereby enhancing the efficacy of EUS-RFA procedures in future hypothetically.