AI-Based Digital Uroflowmetry and Symptom Tracking: Insights from MenHealth

Authors

  • Richard G. Soler-Banchs Ponce Health Sciences University, School of Medicine Author
  • Millie A López-Inostroza Ponce Health Sciences University, School of Medicine Author
  • Dr. Kenneth Cintrón Cartagena Ponce Health Sciences University, School of Medicine; Centro Médico Episcopal San Lucas, Department of Urology Author
  • Dr. Gilberto Ruiz-Deyá Ponce Health Sciences University, School of Medicine; Centro Médico Episcopal San Lucas, Department of Urology Author
  • Dr. William Román Torreguitart Ponce Health Sciences University, School of Medicine; Centro Médico Episcopal San Lucas, Department of Urology Author
  • Dr. Claudio Bernaschina-Bobadilla Ponce Health Sciences University, School of Medicine; Centro Médico Episcopal San Lucas, Department of Urology Author
  • Dr. Giovanni González-Albo Ponce Health Sciences University, School of Medicine; Centro Médico Episcopal San Lucas, Department of Urology Author
  • Dr. Adrián Santana-Parachini Ponce Health Sciences University, School of Medicine; Centro Médico Episcopal San Lucas, Department of Urology Author
  • Dr. Javier Castillo-Ortiz Ponce Health Sciences University, School of Medicine; Centro Médico Episcopal San Lucas, Department of Urology Author

DOI:

https://doi.org/10.71332/nwr7nr25

Abstract

Lower urinary tract symptoms (LUTS) and benign prostatic hyperplasia (BPH) are highly prevalent in men. 

Smartphone, sound based uroflowmetry enables accurate, non-invasive assessment of urinary flow. 

Artificial intelligence, such as MenHealth, is integrated in digital uroflowmetry to improve management of LUTS and BPH.

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Published

2025-12-22