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Vol. 14 No. 3 (2024)
Responsible-AI-MARCH

Articles

AI-Enhanced Management of Complicated Peptic Ulcer Disease: Integrating Proton Pump Inhibitors, Endoscopy, and Surgery

Published 2024-03-13

  • Suman Thapa
    • ,
  • Anjali Gurung
    • ,
  • Kiran Poudel

Suman Thapa
Kathmandu Institute of Technology, Teku Road, Kathmandu, 44600, Nepal

Anjali Gurung
Pokhara Digital University, Lakeside Street, Pokhara, 33700, Nepal

Kiran Poudel
Nepal Institute of Health, Birta Marg, Biratnagar, 56613, Nepal

Abstract

Complicated peptic ulcer disease (PUD), characterized by bleeding, perforation, or obstruction, presents significant challenges in clinical management. The integration of artificial intelligence (AI) into the diagnostic and therapeutic workflow has shown promising potential to enhance patient outcomes. This study examines the role of AI in optimizing the use of proton pump inhibitors (PPIs), endoscopic procedures, and surgical interventions in the management of complicated PUD. AI-powered predictive models can assist in early identification of high-risk patients, enabling timely initiation of PPIs to minimize ulcer progression and bleeding risk. Additionally, AI-enhanced imaging technologies improve diagnostic accuracy during endoscopy by identifying subtle mucosal changes and predicting the severity of ulcers. These advancements facilitate targeted interventions, such as endoscopic hemostasis for bleeding ulcers or stent placement in cases of obstruction. In surgical management, AI aids in preoperative planning by assessing patient-specific risks and predicting postoperative outcomes. Furthermore, AI-driven decision-support systems can guide clinicians in choosing between minimally invasive and open surgical approaches, optimizing patient recovery. This paper discusses the integration of these AI tools into clinical practice, their implications for healthcare providers, and potential barriers to widespread adoption. By streamlining decision-making processes and enhancing precision in treatment strategies, AI has the potential to transform the management of complicated PUD. However, ethical considerations, data privacy concerns, and the need for rigorous validation studies remain challenges to be addressed. This review concludes with recommendations for future research to refine AI applications and ensure equitable access to advanced technologies, aiming to improve outcomes for patients with complicated PUD globally.

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