The Current State of Artificial Intelligence for Benign Prostatic Hyperplasia.

Area of Science:

• Urology
• Medical Informatics

Background:

• Benign prostate hyperplasia (BPH) affects a significant number of men.
• Artificial intelligence (AI) is increasingly explored in various medical fields.
• Current AI applications in BPH are not yet well-established.

Purpose of the Study:

• To review recent literature on AI applications in benign prostate hyperplasia (BPH).
• To identify key areas where AI is being explored for BPH diagnosis and management.
• To highlight the need for further research and standardization.

Main Methods:

• Literature review of recent studies on AI in BPH.
• Analysis of AI applications in diagnosis, treatment prediction, surgical optimization, and workflow enhancement.
• Synthesis of findings regarding the current state and future directions of AI in BPH.

Main Results:

• AI is being investigated for diagnosis, treatment response prediction, and surgical optimization in BPH.
• Numerous AI-focused studies exist in urology, but specific BPH applications require further development.
• Standardized guidelines for AI model reporting and external validation are crucial.

Conclusions:

• AI holds potential benefits for patients with BPH, including improved diagnosis and treatment.
• Widespread adoption of AI in BPH management necessitates more research and standardized implementation guidelines.
• Further investigation is essential to fully realize the potential of AI in urological care for BPH.