Version 1
: Received: 30 May 2024 / Approved: 31 May 2024 / Online: 31 May 2024 (13:45:36 CEST)
How to cite:
Noble, P. A Smart Computer Program to Assist Healthcare Providers in Selecting the Best Treatment for Patients with Urinary Stones. Preprints2024, 2024052160. https://doi.org/10.20944/preprints202405.2160.v1
Noble, P. A Smart Computer Program to Assist Healthcare Providers in Selecting the Best Treatment for Patients with Urinary Stones. Preprints 2024, 2024052160. https://doi.org/10.20944/preprints202405.2160.v1
Noble, P. A Smart Computer Program to Assist Healthcare Providers in Selecting the Best Treatment for Patients with Urinary Stones. Preprints2024, 2024052160. https://doi.org/10.20944/preprints202405.2160.v1
APA Style
Noble, P. (2024). A Smart Computer Program to Assist Healthcare Providers in Selecting the Best Treatment for Patients with Urinary Stones. Preprints. https://doi.org/10.20944/preprints202405.2160.v1
Chicago/Turabian Style
Noble, P. 2024 "A Smart Computer Program to Assist Healthcare Providers in Selecting the Best Treatment for Patients with Urinary Stones" Preprints. https://doi.org/10.20944/preprints202405.2160.v1
Abstract
Urinary tract stones can obstruct the urinary tract, resulting in severe lower back pain, blood in the urine, vomiting, and painful urination. While small stones can pass naturally through the urine stream, larger ones necessitate fragmentation with shock wave lithotripsy (SWL) or laser ureteroscopy (URS) to prevent urinary tract blockage. A smart computer program was developed to predict treatment efficacy for removing a stone and potential complications for individual patients based on factors such as age, health conditions, stone details, and treatment instruments, ultimately recommending the most suitable option. Here, I present three case studies and their predicted outcomes. The program is available at: http://peteranoble.com/webapps.html
Keywords
urinary stones; shockwave lithotripsy, laser ureteroscopy, stone fragmentation; AI Predictions
Subject
Public Health and Healthcare, Primary Health Care
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
