Artificial Intelligence in Paediatric Urology: Transforming Diagnosis and Treatment
Artificial Intelligence (AI) is revolutionising healthcare, including paediatric urology. Paediatric urology has played a crucial role in the development of clinically relevant AI models. This narrative review explores the applications, benefits and challenges of AI in paediatric urological diagnosi...
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| Format: | Article |
| Language: | English |
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JCDR Research and Publications Private Limited
2025-06-01
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| Series: | Journal of Clinical and Diagnostic Research |
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| Online Access: | https://jcdr.net/articles/PDF/21050/78032_CE[Ra1]_F(IS)_QC(AN_IS)_PF1(AG_SL)_PFA_PB(AG_OM)_PN(IS).pdf |
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| _version_ | 1849694841213026304 |
|---|---|
| author | Wesam Khan |
| author_facet | Wesam Khan |
| author_sort | Wesam Khan |
| collection | DOAJ |
| description | Artificial Intelligence (AI) is revolutionising healthcare, including paediatric urology. Paediatric urology has played a crucial role in the development of clinically relevant AI models. This narrative review explores the applications, benefits and challenges of AI in paediatric urological diagnosis and treatment. It aims to determine the current state of AI in paediatric urology, identify key applications, evaluate their impact on clinical outcomes and explore potential future directions. The literature search was extensively conducted using the PubMed, Scopus and Web of Science databases. The findings from the literature search indicate that AI has the potential to significantly improve paediatric urological care by providing more accurate diagnosis, optimising treatment decisions and enhancing surgical outcomes. However, challenges such as data quality, model generalisability and ethical implications must be resolved for widespread implementation. |
| format | Article |
| id | doaj-art-3765a8744b854001852c91c4f34ca0c7 |
| institution | DOAJ |
| issn | 2249-782X 0973-709X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | JCDR Research and Publications Private Limited |
| record_format | Article |
| series | Journal of Clinical and Diagnostic Research |
| spelling | doaj-art-3765a8744b854001852c91c4f34ca0c72025-08-20T03:19:57ZengJCDR Research and Publications Private LimitedJournal of Clinical and Diagnostic Research2249-782X0973-709X2025-06-01196SE01SE0510.7860/JCDR/2025/78032.21050Artificial Intelligence in Paediatric Urology: Transforming Diagnosis and TreatmentWesam Khan0Assistant Professor, Department of Surgery, Faculty of Medicine, University of Tabuk, Tabuk, Saudi Arabia.Artificial Intelligence (AI) is revolutionising healthcare, including paediatric urology. Paediatric urology has played a crucial role in the development of clinically relevant AI models. This narrative review explores the applications, benefits and challenges of AI in paediatric urological diagnosis and treatment. It aims to determine the current state of AI in paediatric urology, identify key applications, evaluate their impact on clinical outcomes and explore potential future directions. The literature search was extensively conducted using the PubMed, Scopus and Web of Science databases. The findings from the literature search indicate that AI has the potential to significantly improve paediatric urological care by providing more accurate diagnosis, optimising treatment decisions and enhancing surgical outcomes. However, challenges such as data quality, model generalisability and ethical implications must be resolved for widespread implementation.https://jcdr.net/articles/PDF/21050/78032_CE[Ra1]_F(IS)_QC(AN_IS)_PF1(AG_SL)_PFA_PB(AG_OM)_PN(IS).pdfalgorithmsdeep learningdiagnosismachine learningpredictive modellingrobotic surgerytreatment |
| spellingShingle | Wesam Khan Artificial Intelligence in Paediatric Urology: Transforming Diagnosis and Treatment Journal of Clinical and Diagnostic Research algorithms deep learning diagnosis machine learning predictive modelling robotic surgery treatment |
| title | Artificial Intelligence in Paediatric Urology: Transforming Diagnosis and Treatment |
| title_full | Artificial Intelligence in Paediatric Urology: Transforming Diagnosis and Treatment |
| title_fullStr | Artificial Intelligence in Paediatric Urology: Transforming Diagnosis and Treatment |
| title_full_unstemmed | Artificial Intelligence in Paediatric Urology: Transforming Diagnosis and Treatment |
| title_short | Artificial Intelligence in Paediatric Urology: Transforming Diagnosis and Treatment |
| title_sort | artificial intelligence in paediatric urology transforming diagnosis and treatment |
| topic | algorithms deep learning diagnosis machine learning predictive modelling robotic surgery treatment |
| url | https://jcdr.net/articles/PDF/21050/78032_CE[Ra1]_F(IS)_QC(AN_IS)_PF1(AG_SL)_PFA_PB(AG_OM)_PN(IS).pdf |
| work_keys_str_mv | AT wesamkhan artificialintelligenceinpaediatricurologytransformingdiagnosisandtreatment |