Artificial intelligence (AI) is increasingly applied in colorectal and anorectal surgery, particularly for complex conditions such as anal fistula (AF). Conventional diagnostic and therapeutic approaches remain limited by intricate anatomy, high recurrence risk, and the need to preserve continence. This narrative review, evaluates the role of AI in AF and related anorectal disorders, with evidence mapped to the IDEAL (idea, development, exploration, assessment, and long-term follow-up) framework (stages 1–4, with stage 2 subdivided into 2a and 2b). Relevant literature was identified through targeted searches of PubMed, Embase, and Scopus. Studies investigating AI applications in AF or related anorectal conditions, including imaging, surgical planning, predictive modeling, and functional assessment, were included. Evidence was categorized according to IDEAL stages, ranging from proof-of-concept to long-term quality assurance. AI demonstrates potential across 4 key domains: (1) preoperative imaging (stages 1–2b); (2) intraoperative planning and assistance (stages 1–2a); (3) predictive modeling (stages 2a–2b); and (4) broader anorectal applications, including anorectal manometry and the EndoFLIP (endoluminal functional lumen imaging probe) procedure (stages 1–2b). Feasibility studies report high diagnostic performance, particularly for magnetic resonance imaging and computed tomography–based deep learning models; however, these findings are constrained by small sample sizes, limited external validation, and challenges related to workflow integration. Overall, AI has the potential to enhance diagnostic accuracy, surgical planning, and functional assessment in AF and related disorders. However, most studies remain within early IDEAL stages (1–2b), highlighting the need for multicenter validation, cost-effectiveness analyses, and robust ethical frameworks before widespread clinical implementation.
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Anal fistula can be a challenging condition to manage, with complex fistulas presenting even greater difficulties. The primary concerns in treating this condition are a risk of damage to the anal sphincters, which can compromise fecal continence, and refractoriness to treatment, as evidenced by a high recurrence rate. Furthermore, the treatment of complex anal fistula involves several additional challenges. Satisfactory solutions to many of these obstacles remain elusive, and no consensus has been established regarding the available treatment options. In summary, complex anal fistula has no established gold-standard treatment, and the quest for effective therapies continues. This review discusses and highlights groundbreaking advances in the management of complex anal fistula over the past decade.
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Purpose Complex anal fistulas can recur after clinical healing, even after a long interval which leads to significant anxiety. Also, ascertaining the efficacy of any new treatment procedure becomes difficult and takes several years. We prospectively analyzed the validity of Garg scoring system (GSS) to predict long-term fistula healing.
Methods In patients operated for cryptoglandular anal fistulas, magnetic resonance imaging was performed preoperatively and at 3 months postoperatively to assess fistula healing. Scores as per the GSS were calculated for each patient at 3 months postoperatively and correlated with long-term healing to check the accuracy of the scoring system.
Results Fifty-seven patients were enrolled, but 50 were finally included (7 were excluded). These 50 patients (age, 41.2±12.4 years; 46 men) were followed up for 12 to 20 months (median, 17 months). Forty-seven patients (94.0%) had complex fistulas, 28 (56.0%) had recurrent fistulas, 48 (96.0%) had multiple tracts, 20 (40.0%) had horseshoe tracts, 15 (32.0%) had associated abscesses, 5 (10.0%) were suprasphincteric, and 8 (16.0%) were supralevator fistulas. The GSS could accurately predict long-term healing (high positive predictive value, 31 of 31 [100%]) but was not very accurate in predicting nonhealing (negative predictive value, 15 of 19 [78.9%]). The sensitivity in predicting healing was 31 of 35 (88.6%).
Conclusion GSS accurately predicts long-term fistula with a high positive predictive value (100%) but is less accurate in predicting nonhealing. This scoring system can help allay anxiety in patients and facilitate the early validation of innovative procedures for anal fistulas.
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