4.1 Review

The role of 'artificial intelligence, machine learning, virtual reality, and radiomics' in PCNL: a review of publication trends over the last 30 years

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Summary: This article reviews the latest developments and applications of artificial intelligence (AI), extended reality, 3D printing, and robotics in percutaneous nephrolithotomy (PCNL). The use of AI in PCNL has focused on machine learning predictive models and deep learning convolutional neural networks (DL-CNN) for stone composition identification. However, due to the complexity and lack of generalizability of these models, they have not yet been incorporated into routine clinical practice. Extended reality-based simulation and training models, as well as 3D printed models, have shown advantages in enhancing skills and training in PCNL. The applications of robotics in PCNL show promise but are still in the early stages. Future research should focus on the generalizability and adaptability of technological advancements in PCNL training and improvement of patient outcomes.

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Ee Jean Lim et al.

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Changing trends in clinical research literature on PubMed database from 1991 to 2020

Xiyi Zhao et al.

Summary: This study analyzed the type and quantity of clinical research publications in the PubMed database over three decades. The results showed significant changes in the composition and number of clinical studies. Case report/series, case control study, and narrative review decreased, while cohort study, cross-sectional study, systematic reviews, and systematic review and meta-analysis literature increased.

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Automated Needle Targeting with X-ray (ANT-X)-Robot-assisted device for percutaneous nephrolithotomy (PCNL) with its first successful use in human.

Mon Mon Oo et al.

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The Ascent of Artificial Intelligence in Endourology: a Systematic Review Over the Last 2 Decades

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Summary: The review highlights the application of artificial intelligence in kidney stone disease, which shows promise in personalized patient care and decision making. Despite its potential benefits, AI is still a research tool and faces challenges in data infrastructure, wider applicability, complexity, and cost. Future research should focus on quality of life and cost of treatment to develop evidence-based AI algorithms that can guide urologists in managing stone disease.

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The best treatment approach for lower calyceal stones ≤20 mm in maximal diameter: mini percutaneous nephrolithotripsy, retrograde intrarenal surgery or shock wave lithotripsy A systematic review and meta-analysis of the literature conducted by the European Section of Uro-Technology and Young Academic Urologists

Panagiotis Kallidonis et al.

Summary: For lower pole stones with a diameter <20 mm, mPCNL has the highest stone-free rate and the lowest retreatment rate, but also a higher complication rate; SWL provides the lowest SFR and the highest retreatment rate; RIRS has a similar complication rate to SWL and may be preferred over SWL.

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