In this issue, first, one striking theme across these studies is the technological advancements in diagnostics and treatment. Shin et al. [1] presented machine learning models like CatBoost and XGBoost that are revolutionizing urological diagnostics with precise, noninvasive evaluations for complex conditions such as bladder outlet obstruction and detrusor underactivity. Lee et al. [2] further explored artificial intelligence (AI)-driven predictive models that enhance personalized healthcare by anticipating postsurgical recovery. Meanwhile, Lee and Kim [3] examined digital therapeutics for managing chronic urological conditions like benign prostatic hyperplasia where personalized applications allow for self-management and active patient engagement. It can offer a practical, patient-centered approach that complements traditional care.

This issue also highlights a new paradigm in urological research focusing on public perception and the influence of digital communities. Yu and Kim [4] addressed the need for proactive urological intervention and accurate information for individuals with mental illness who experience lower urinary tract symptoms based on findings from online mental health communities in South Korea. Another study [5] examined public perception around male health topics such as hormone levels. The findings showed that while news media may sensationalize, communitydriven platforms offer nuanced, experience-based discussions. In the similar way, Kang and Kim [6] explored vasectomy discussions on South Korean Q&A platforms and revealed that public interest centered around surgical procedure, contraceptive effectiveness, and related social issues. In another study, Park et al. [7] validated large language models (LLMs), a foundational technology of generative AI, and the Metaverse further enhance these interactions while offering immersive, supportive environments for patient education and care. By merging LLMs with the Metaverse, healthcare providers can create immersive, continuous care environments, which may benefit urologic care, particularly in conditions requiring consistent behavioral interventions.

These studies, which span machine learning in diagnostics to community-driven discourse on sensitive topics, emphasize the transformative potential of technology and patient-centered approaches in healthcare. The convergence of patient perspectives, innovative diagnostics, and digital health solutions in urology underscores a broader shift towards integrated, patient-centric healthcare. As we embrace these innovations, maintaining ethical standards, clear communication, and patient empowerment will be essential to realizing the full potential of this new era in urology.