Large language models for post-discharge follow-up in erectile dysfunction care: a narrative review

Erectile dysfunction (ED) is common and closely linked to cardiometabolic disease, psychological distress, and relationship problems. Although effective treatments are available, outcomes depend on sustained post-discharge follow-up to assess response, adherence, adverse effects, and psychosocial needs. In practice, ED follow-up is often hindered by stigma, embarrassment, limited access, and fragmented communication. This narrative review examines the potential role, risks, and implementation requirements of large language model (LLM)-assisted follow-up in ED care.