[HTML][HTML] Legal and ethical consideration in artificial intelligence in healthcare: who takes responsibility?
The legal and ethical issues that confront society due to Artificial Intelligence (AI) include
privacy and surveillance, bias or discrimination, and potentially the philosophical challenge …
privacy and surveillance, bias or discrimination, and potentially the philosophical challenge …
Machine learning applications in detection and diagnosis of urology cancers: a systematic literature review
Deep learning integration in cancer diagnosis enhances accuracy and diagnosis speed
which helps clinical decision-making and improves health outcomes. Despite all these …
which helps clinical decision-making and improves health outcomes. Despite all these …
Artificial intelligence in urooncology: what we have and what we expect
A Froń, A Semianiuk, U Lazuk, K Ptaszkowski… - Cancers, 2023 - mdpi.com
Simple Summary Our study provides an overview of the current state of artificial intelligence
applications in urooncology and explores potential future advancements in this field. With …
applications in urooncology and explores potential future advancements in this field. With …
Artificial intelligence and its impact on urological diseases and management: a comprehensive review of the literature
BMZ Hameed, AVL S. Dhavileswarapu… - Journal of Clinical …, 2021 - mdpi.com
Recent advances in artificial intelligence (AI) have certainly had a significant impact on the
healthcare industry. In urology, AI has been widely adopted to deal with numerous …
healthcare industry. In urology, AI has been widely adopted to deal with numerous …
[HTML][HTML] Addressing the challenges of AI-based telemedicine: Best practices and lessons learned
Telemedicine is the use of technology to provide healthcare services and information
remotely, without requiring physical proximity between patients and healthcare providers …
remotely, without requiring physical proximity between patients and healthcare providers …
The role of 'artificial intelligence, machine learning, virtual reality, and radiomics' in PCNL: a review of publication trends over the last 30 years
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 …
1994 to 2023, on the application of 'artificial intelligence (AI), machine learning (ML), virtual …
Atlas of scoring systems, grading tools, and nomograms in endourology: a comprehensive overview from the TOWER Endourological Society Research Group
Introduction: With an increase in the prevalence of kidney stone disease (KSD), there has
been a universal drive to develop reliable and user-friendly tools such as grading systems …
been a universal drive to develop reliable and user-friendly tools such as grading systems …
MicroRNAs in testicular germ cell tumors: the teratoma challenge
Testicular germ cell tumors (TGCTs) are relatively common in young men, making accurate
diagnosis and prognosis assessment essential. MicroRNAs (miRNAs), including microRNA …
diagnosis and prognosis assessment essential. MicroRNAs (miRNAs), including microRNA …
The ascent of artificial intelligence in endourology: a systematic review over the last 2 decades
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 …
(AI) in kidney stone disease (KSD) for diagnostics, predicting procedural outcomes, stone …
ALARA in urology: steps to minimise radiation exposure during all parts of the endourological journey
R Bhanot, ZBM Hameed, M Shah, P Juliebø-Jones… - Current urology …, 2022 - Springer
Abstract Purpose of the Review The global burden of kidney stone disease (KSD) and its
management relies on ionising radiation. This includes the diagnosis, treatment and follow …
management relies on ionising radiation. This includes the diagnosis, treatment and follow …