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Current Urology Reports

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Open Access 19-12-2023 | Artificial Intelligence

Smart Diagnosis of Urinary Tract Infections: is Artificial Intelligence the Fast-Lane Solution?

Authors: Nithesh Naik, Ali Talyshinskii, Dasharathraj K. Shetty, B. M. Zeeshan Hameed, Rano Zhankina, Bhaskar K. Somani

Published in: Current Urology Reports | Issue 1/2024

Abstract

Purpose of Review

Artificial intelligence (AI) can significantly improve physicians’ workflow when examining patients with UTI. However, most contemporary reviews are focused on examining the usage of AI with a restricted quantity of data, analyzing only a subset of AI algorithms, or performing narrative work without analyzing all dedicated studies. Given the preceding, the goal of this work was to conduct a mini-review to determine the current state of AI-based systems as a support in UTI diagnosis.

Recent Findings

There are sufficient publications to comprehend the potential applications of artificial intelligence in the diagnosis of UTIs. Existing research in this field, in general, publishes performance metrics that are exemplary. However, upon closer inspection, many of the available publications are burdened with flaws associated with the improper use of artificial intelligence, such as the use of a small number of samples, their lack of heterogeneity, and the absence of external validation. AI-based models cannot be classified as full-fledged physician assistants in diagnosing UTIs due to the fact that these limitations and flaws represent only a portion of all potential obstacles. Instead, such studies should be evaluated as exploratory, with a focus on the importance of future work that complies with all rules governing the use of AI.

Summary

AI algorithms have demonstrated their potential for UTI diagnosis. However, further studies utilizing large, heterogeneous, prospectively collected datasets, as well as external validations, are required to define the actual clinical workflow value of artificial intelligence.

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Title: Smart Diagnosis of Urinary Tract Infections: is Artificial Intelligence the Fast-Lane Solution?
Authors: Nithesh Naik
Ali Talyshinskii
Dasharathraj K. Shetty
B. M. Zeeshan Hameed
Rano Zhankina
Bhaskar K. Somani
Publication date: 19-12-2023
Publisher: Springer US
Keywords: Artificial Intelligence
Urinary Tract Infection
Published in: Current Urology Reports / Issue 1/2024
Print ISSN: 1527-2737
Electronic ISSN: 1534-6285
DOI: https://doi.org/10.1007/s11934-023-01192-3

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Smart Diagnosis of Urinary Tract Infections: is Artificial Intelligence the Fast-Lane Solution?

Abstract

Purpose of Review

Recent Findings

Summary

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose of Review

Recent Findings

Summary

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