[HTML][HTML] Artificial intelligence (AI) in urology-Current use and future directions: An iTRUE study

M Shah, N Naik, BK Somani… - Turkish Journal of …, 2020 - ncbi.nlm.nih.gov
Objective Artificial intelligence (AI) is used in various urological conditions such as
urolithiasis, pediatric urology, urogynecology, benign prostate hyperplasia (BPH), renal …

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

C Nedbal, C Cerrato, V Jahrreiss… - Therapeutic …, 2023 - journals.sagepub.com
Introduction: We wanted to analyze the trend of publications in a period of 30 years from
1994 to 2023, on the application of 'artificial intelligence (AI), machine learning (ML), virtual …

Deep learning model-assisted detection of kidney stones on computed tomography

A Caglayan, MO Horsanali, K Kocadurdu… - International braz j …, 2022 - SciELO Brasil
Introduction: The aim of this study was to investigate the success of a deep learning model in
detecting kidney stones in different planes according to stone size on unenhanced …

Probabilistic planning of the active and reactive power sources constrained to securable-reliable operation in reconfigurable smart distribution networks

E Faraji, AR Abbasi, S Nejatian… - Electric Power Systems …, 2021 - Elsevier
One of the main goals of SDN is to achieve the desirable operation of a highly secure and
reliable network in terms of energy distribution. Hence, this paper presents the probabilistic …

Predicting the postoperative outcome of percutaneous nephrolithotomy with machine learning system: software validation and comparative analysis with guy's stone …

A Aminsharifi, D Irani, S Tayebi… - Journal of …, 2020 - liebertpub.com
Purpose: To validate the output of a machine learning-based software as an intelligible
interface for predicting multiple outcomes after percutaneous nephrolithotomy (PCNL). We …

The ascent of artificial intelligence in endourology: a systematic review over the last 2 decades

BMZ Hameed, M Shah, N Naik, BP Rai, H Karimi… - Current Urology …, 2021 - Springer
Abstract Purpose of Review To highlight and review the application of artificial intelligence
(AI) in kidney stone disease (KSD) for diagnostics, predicting procedural outcomes, stone …

Emerging Applications of Artificial Intelligence (AI) and Machine Learning (ML) in Modern Urology

R Barua, S Das, J Mondal - Exploring the Convergence of Computer …, 2023 - igi-global.com
AI (artificial intelligence) and ML (machine learning) are the technical controlling implements
for clarifying difficult difficulties in modern urology. AI may also progress in surgical training …

On bipolar complex fuzzy sets and its application

AUMJ Alkouri, MO Massa'deh… - Journal of Intelligent & …, 2020 - content.iospress.com
Many factors with the perspective of bipolarity in the traditional Chinese food system “Yin
and Yang food system” manipulate with types of food simultaneously to have a balanced …

Do you comply with AI?--Personalized explanations of learning algorithms and their impact on employees' compliance behavior

NI Kuhl, J Lobana, C Meske - arXiv preprint arXiv:2002.08777, 2020 - arxiv.org
Machine Learning algorithms are technological key enablers for artificial intelligence (AI).
Due to the inherent complexity, these learning algorithms represent black boxes and are …

Application of artificial intelligence-based classifiers to predict the outcome measures and stone-free status following percutaneous nephrolithotomy for staghorn …

BMZ Hameed, M Shah, N Naik… - Journal of …, 2021 - liebertpub.com
Objective: To develop a decision support system (DSS) for the prediction of the
postoperative outcome of a kidney stone treatment procedure, particularly percutaneous …