Artificial Intelligence-Based Patient Monitoring System for Medical Support

CONCLUSION: In this study, we developed a urination disease monitoring system aimed at predicting and managing risks for patients with urination issues. The system is designed to support the entire care cycle of a patient by leveraging AI technology that processes various image and signal data. We anticipate that this system will evolve into digital treatment products, ultimately providing therapeutic benefits to patients.PMID:38171328 | PMC:PMC10762372 | DOI:10.5213/inj.2346338.169
Source: International Neurourology Journal - Category: Urology & Nephrology Authors: Source Type: research