Artificial Intelligence-Driven Personalized Consent Form for Transurethral Resection of the Prostate (TURP): Development and Validation

The informed consent process is a fundamental component of patient-centered care, yet traditional consent forms often fail to address individual patient needs comprehensively. This study explores the development and implementation of an AI-driven personalized consent form for Transurethral Resection of the Prostate (TURP). By leveraging machine learning algorithms trained on clinical data from 12,000 patients, the tool provides tailored risk assessments and patient-specific recommendations. The model demonstrated high predictive accuracy (AUC: 0.89) for complications such as bleeding, retrograde ejaculation, and urinary incontinence. Comparative analysis revealed that AI-driven consent forms significantly enhanced patient comprehension, satisfaction, and shared decision-making compared to standard practices. These findings underscore the transformative potential of AI in urology, aligning with contemporary guidelines from the European Association of Urology (EAU) and the American Urological Association (AUA). The study highlights the importance of integrating advanced technologies into routine clinical workflows to optimize patient outcomes and foster a new era of precision medicine.

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Publication Details

Journal
Journal of Medical Research and Surgery
Published
2025-02-04
DOI
https://doi.org/10.52916/jmrs254159
Primary Topic
Medical Malpractice and Liability Issues
Type
article
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article

Artificial Intelligence-Driven Personalized Consent Form for Transurethral Resection of the Prostate (TURP): Development and Validation

Onur Dede
Journal of Medical Research and Surgery
Medical Malpractice and Liability Issues
article

Artificial Intelligence-Driven Personalized Consent Form for Transurethral Resection of the Prostate (TURP): Development and Validation

Onur Dede
article en

Abstract

The informed consent process is a fundamental component of patient-centered care, yet traditional consent forms often fail to address individual patient needs comprehensively. This study explores the development and implementation of an AI-driven personalized consent form for Transurethral Resection of the Prostate (TURP). By leveraging machine learning algorithms trained on clinical data from 12,000 patients, the tool provides tailored risk assessments and patient-specific recommendations. The model demonstrated high predictive accuracy (AUC: 0.89) for complications such as bleeding, retrograde ejaculation, and urinary incontinence. Comparative analysis revealed that AI-driven consent forms significantly enhanced patient comprehension, satisfaction, and shared decision-making compared to standard practices. These findings underscore the transformative potential of AI in urology, aligning with contemporary guidelines from the European Association of Urology (EAU) and the American Urological Association (AUA). The study highlights the importance of integrating advanced technologies into routine clinical workflows to optimize patient outcomes and foster a new era of precision medicine.

Journal of Medical Research and SurgeryVol. 6(1)
Peace, Justice and strong institutions
Openalex Percentile: Top 96%
Medical Malpractice and Liability Issues
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