Revolutionizing Bladder Health: Artificial-Intelligence-Powered Automatic Measurement of Bladder Volume Using Two-Dimensional Ultrasound
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Setting
2.2. Study Endpoint
2.3. Study Protocol
2.4. The Two-Dimensional Ultrasound-Based Bladder Volume Calculation Method
2.5. The AI-Based Module
2.6. Sample Size Calculation
2.7. The Statistical Analyses
3. Results
3.1. A Bladder Volume Assessment Comparison: The AI-Based Module vs. the Gold Standard
3.2. A Bladder Diameter (D1, D2, and D3) Measurement Comparison: The AI-Based Module vs. the Gold Standard
3.3. The Sensitivity and Specificity Analyses
3.4. The Inter- and Intra-Observer Variabilities
4. Discussion
Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Alpert, E.A.; Gold, D.D.; Kobliner-Friedman, D.; Wagner, M.; Dadon, Z. Revolutionizing Bladder Health: Artificial-Intelligence-Powered Automatic Measurement of Bladder Volume Using Two-Dimensional Ultrasound. Diagnostics 2024, 14, 1829. https://doi.org/10.3390/diagnostics14161829
Alpert EA, Gold DD, Kobliner-Friedman D, Wagner M, Dadon Z. Revolutionizing Bladder Health: Artificial-Intelligence-Powered Automatic Measurement of Bladder Volume Using Two-Dimensional Ultrasound. Diagnostics. 2024; 14(16):1829. https://doi.org/10.3390/diagnostics14161829
Chicago/Turabian StyleAlpert, Evan Avraham, Daniel David Gold, Deganit Kobliner-Friedman, Michael Wagner, and Ziv Dadon. 2024. "Revolutionizing Bladder Health: Artificial-Intelligence-Powered Automatic Measurement of Bladder Volume Using Two-Dimensional Ultrasound" Diagnostics 14, no. 16: 1829. https://doi.org/10.3390/diagnostics14161829