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

You might also read

Related Articles

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

Sort by
Same author

Study of χ_{bJ}(2P)→ωϒ(1S) at Belle.

Physical review letters·2025
Same author

Measurement of Angular Coefficients of B[over ¯]→D^{*}ℓν[over ¯]_{ℓ}: Implications for |V_{cb}| and Tests of Lepton Flavor Universality.

Physical review letters·2024
Same author

Search for Baryon-Number-Violating Processes in B^{-} Decays to the Ξ[over ¯]_{c}^{0}Λ[over ¯]_{c}^{-} Final State.

Physical review letters·2024
Same author

First Simultaneous Determination of Inclusive and Exclusive |V_{ub}|.

Physical review letters·2023
Same author

Search for a Heavy Neutrino in τ Decays at Belle.

Physical review letters·2023
Same author

First Measurement of the Michel Parameter ξ^{'} in the τ^{-}→μ^{-}ν[over ¯]_{μ}ν_{τ} Decay at Belle.

Physical review letters·2023

Related Experiment Video

Updated: Dec 31, 2025

Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery
07:30

Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery

Published on: May 4, 2022

3.6K

[Application of artificial intelligence in thoracic surgery].

D Herrmann1, M Oggiano1, E Hecker2

  • 1Thoraxzentrum Ruhrgebiet, Klinik für Thoraxchirurgie, Evangelisches Krankenhaus, Herne, Hordeler Straße 7-9, 44651, Herne, Deutschland.

Der Chirurg; Zeitschrift Fur Alle Gebiete Der Operativen Medizen
|January 11, 2020
PubMed
Summary

Artificial intelligence (AI) in medicine shows promise for diagnostics and treatment planning, particularly in thoracic surgery. However, widespread clinical implementation faces challenges requiring data standardization and evaluation.

Keywords:
Artificial neural networkComputer-aided diagnosticsDeep learningMachine learningNon-small cell lung cancer

More Related Videos

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

8.6K
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

1.1K

Related Experiment Videos

Last Updated: Dec 31, 2025

Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery
07:30

Electromagnetic Navigation Transthoracic Nodule Localization for Minimally Invasive Thoracic Surgery

Published on: May 4, 2022

3.6K
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

8.6K
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

1.1K

Area of Science:

  • Medical Informatics
  • Thoracic Surgery
  • Artificial Intelligence Applications

Background:

  • Artificial intelligence (AI) is an emerging technology in medicine, with current applications largely focused on medical imaging analysis.
  • Research into AI's potential for enhancing patient treatment is ongoing and extensive.

Purpose of the Study:

  • To investigate the current and potential applications of artificial intelligence in the daily routine of thoracic surgery.
  • To identify existing practices and forms of AI integration in thoracic surgical workflows.

Main Methods:

  • A comprehensive literature search was conducted to identify relevant studies and applications.
  • Analysis of existing research on artificial intelligence in thoracic surgery.

Main Results:

  • Artificial intelligence is most effectively utilized in diagnostics and treatment planning within current capabilities.
  • Standardization and evaluation of centralized data collection are crucial for comprehensive AI implementation.
  • Current AI use in thoracic surgery is primarily limited to specific analytical tasks.

Conclusions:

  • Promising research findings exist for AI in thoracic surgery, but practical implementation remains challenging.
  • Significant hurdles exist in integrating AI tools into routine surgical practice.
  • Further development in data management and standardization is needed to overcome implementation barriers.