Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Quarrying of Stone01:15

Quarrying of Stone

203
Quarrying is the process of extracting stone from a quarry, where specialized techniques are employed to remove large blocks of stone safely and efficiently. This process can involve controlled explosions or more precision-oriented methods such as cutting and drilling.
One common method involves using a diamond belt saw to cut large blocks from the quarry face. These blocks can be about 50 feet long and 12 feet high. After the initial vertical cut, drilling is performed at the base of the...
203
Types of Building Stone01:30

Types of Building Stone

167
Building stones, essential materials for construction, are extracted from natural rock deposits and processed into specific forms and dimensions suitable for various building applications. These stones are broadly classified into three types based on their geological formation: igneous, sedimentary, and metamorphic.
Igneous rocks are formed from the solidification of magma or lava. An example is granite, known for its durability and resistance to weathering, making it ideal for parts of...
167
Stone Masonry01:29

Stone Masonry

184
Stone masonry is a construction technique that uses individual stones to build structures and can be categorized into two main types: rubble and ashlar. Rubble masonry uses uneven, naturally shaped stones such as river rocks or fragments from quarries. This method often requires the mason to select and possibly shape each stone to fit the designated space, ensuring a proper build, even with irregular stone sizes and shapes. Ashlar masonry, on the other hand, employs uniformly cut stones that...
184
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.9K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.9K
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.9K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.9K
Machines: Problem Solving II01:30

Machines: Problem Solving II

374
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
374

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Recent Advances in Combined Medical and Surgical Therapy for Resectable NSCLC.

Respirology (Carlton, Vic.)·2026
Same author

Diagnostic Imaging for Suspected Nephrolithiasis in United States Emergency Departments.

Urology practice·2025
Same author

Persistent Sex Disparities in Bladder Cancer Diagnosis: An Analysis of National Trends From 2012 to 2021.

Urology practice·2025
Same author

MedReadr: Development and Evaluation of an In-Browser, Rule-Based Natural Language Processing Algorithm to Estimate the Reliability of Consumer Health Articles.

Biomedicine hub·2025
Same author

Effects of CVA21, an Oncolytic Virus, in Combination with Pembrolizumab on Immunogenicity and the Tumor Microenvironment in Advanced NSCLC: A Phase I/II Trial.

Clinical cancer research : an official journal of the American Association for Cancer Research·2025
Same author

Effect of activity restrictions on pectus bar displacement following minimally invasive repair of pectus excavatum - A Western Pediatric Surgery Research Consortium.

Journal of pediatric surgery·2025
Same journal

An Unprecedented Era of Innovation in Non-Muscle-Invasive Bladder Cancer.

The Urologic clinics of North America·2026
Same journal

Hubert Humphrey's Bladder Cancer: If He Could Have Time Traveled, Would that Have Changed the Outcome?

The Urologic clinics of North America·2026
Same journal

Key Clinical Trials Shaping the Future of Superficial High-Risk Bladder Cancer Management.

The Urologic clinics of North America·2026
Same journal

Future Directions: Artificial Intelligence and Digital Tools in Bladder Cancer Care.

The Urologic clinics of North America·2026
Same journal

Economic Considerations in the Management of Superficial Bladder Cancer.

The Urologic clinics of North America·2026
Same journal

Patient-Centered Approaches to Non-Muscle-Invasive Bladder Cancer Care.

The Urologic clinics of North America·2026
See all related articles

Related Experiment Video

Updated: Sep 17, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.0K

Artificial Intelligence and Machine Learning for Stone Management.

Adithya Balasubramanian1, Hriday Bhambhvani1, Justin Lee2

  • 1Department of Urology, Weill Cornell Medical College, Starr Pavilion, 525 East 68th Street 9th Floor, New York, NY 10065, USA; Department of Urology, Columbia Irving Medical Center, 161 Ft. Washington Avenue, 11th Floor, New York, NY 10032, USA.

The Urologic Clinics of North America
|July 3, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence and machine learning (ML) are revolutionizing kidney stone management. These technologies enhance diagnosis, predict treatment outcomes, and personalize patient care for urolithiasis.

Keywords:
Artificial intelligenceKidney stonesMachine learningPercutaneous nephrolithotomyShock wave lithotripsyStone analysisUreteroscopyUrolithiasis

More Related Videos

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

267
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

Related Experiment Videos

Last Updated: Sep 17, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.0K
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

267
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

Area of Science:

  • Urology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Stone disease management is rapidly advancing with new technologies.
  • Artificial intelligence (AI) and machine learning (ML) offer significant potential for urolithiasis care.
  • Current applications focus on diagnosis, treatment, and prevention strategies.

Purpose of the Study:

  • To explore the role of ML algorithms in improving urolithiasis-directed imaging.
  • To assess the potential of ML in predicting outcomes for various stone treatments.
  • To highlight ML's role in optimizing stone composition analysis and abnormality detection.

Main Methods:

  • Review of current literature on ML applications in urolithiasis.
  • Analysis of ML algorithm potential in diagnostic imaging.
  • Evaluation of ML for predicting treatment success in spontaneous stone passage, ureteroscopy, shockwave lithotripsy, and percutaneous nephrolithotomy.

Main Results:

  • ML algorithms show promise in enhancing the accuracy of urolithiasis imaging.
  • Predictive models using ML can improve outcomes for spontaneous stone passage and surgical interventions.
  • ML can optimize the analysis of stone composition and detection of urinary abnormalities.

Conclusions:

  • ML-based innovations are poised to personalize kidney stone treatment.
  • These technologies will significantly improve the efficiency and effectiveness of stone disease management.
  • The integration of ML represents a new frontier in urological care.