AI Medical Compendium Topic

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Urologic Diseases

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Quality of information about urologic pathology in English and Spanish from ChatGPT, BARD, and Copilot.

Actas urologicas espanolas
INTRODUCTION AND OBJECTIVE: Generative artificial intelligence makes it possible to ask about medical pathologies in dialog boxes. Our objective was to analyze the quality of information about the most common urological pathologies provided by ChatGP...

Current Trends in Artificial Intelligence Application for Endourology and Robotic Surgery.

The Urologic clinics of North America
With the advent of electronic medical records and digitalization of health care over the past 2 decades, artificial intelligence (AI) has emerged as an enabling tool to manage complex datasets and deliver streamlined data-driven patient care. AI algo...

Applications of neural networks in urology: a systematic review.

Current opinion in urology
PURPOSE OF REVIEW: Over the last decade, major advancements in artificial intelligence technology have emerged and revolutionized the extent to which physicians are able to personalize treatment modalities and care for their patients. Artificial inte...

Low-dose CT urography using deep learning image reconstruction: a prospective study for comparison with conventional CT urography.

The British journal of radiology
OBJECTIVES: To compare the image quality of low-dose CT urography (LD-CTU) using deep learning image reconstruction (DLIR) with conventional CTU (C-CTU) using adaptive statistical iterative reconstruction (ASIR-V).

The Use of Uroflowmetry as a Diagnostic Test.

Current urology reports
PURPOSE OF REVIEW: Uroflowmetry is widely used for initial non-invasive evaluation of lower urinary tract disorders. Current clinical use is mostly restricted to a scrutiny of the maximum flow rate and uroflow pattern recorded by a conventional flowm...

Using artificial intelligence to generate medical literature for urology patients: a comparison of three different large language models.

World journal of urology
PURPOSE: Large language models (LLMs) are a form of artificial intelligence (AI) that uses deep learning techniques to understand, summarize and generate content. The potential benefits of LLMs in healthcare is predicted to be immense. The objective ...

Current advances in the use of artificial intelligence in predicting and managing urological complications.

International urology and nephrology
BACKGROUND: Artificial intelligence (AI) has emerged as a promising avenue for improving patient care and surgical outcomes in urological surgery. However, the extent of AI's impact in predicting and managing complications is not fully elucidated.

Current applications and future perspectives of artificial intelligence in functional urology and neurourology: how far can we get?

Minerva urology and nephrology
In the last few years, the scientific community has seen an increasing interest towards the potential applications of artificial intelligence in medicine and healthcare. In this context, urology represents an area of rapid development, particularly i...

Integration of novel artificial intelligence tools in pediatric urologic practice.

Current opinion in urology
PURPOSE OF REVIEW: There has been an explosion of creative uses of artificial intelligence (AI) in healthcare, with AI being touted as a solution for many problems facing the healthcare system. This review focuses on tools currently available to pedi...

ChatGPT's competence in responding to urological emergencies.

Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES
BACKGROUND: In recent years, artificial intelligence (AI) applications have been increasingly used as sources of medical information, alongside their applications in many other fields. This study is the first to evaluate ChatGPT's performance in addr...