Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

You might also read

Related Articles

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

Sort by

Same author

Tracheal Stent Placement Under Remimazolam Sedation With Preserved Spontaneous Respiration: A Case Report.

Cureus·2026

Same author

DSP-2342, a novel 5-hydroxytryptamine 2A/7 receptor antagonist, has therapeutic potential for behavioral and psychological symptoms of dementia.

The Journal of pharmacology and experimental therapeutics·2026

Same author

Quantitative field measurements of atmospheric gaseous elemental mercury using drone-mounted high-flow rate active sampling.

Journal of environmental management·2026

Same author

Autopsy-Confirmed CMV Adrenalitis With Bilateral Adrenal Hemorrhage Following Presumed Critical Illness-Related Corticosteroid Insufficiency During Prolonged ICU Stay: A Case Report.

Case reports in critical care·2026

Same author

Performance of Thromboelastography 6s Difference in Reaction Time Between Heparinase-Free and Heparinase-Containing Channel for Detecting Subtherapeutic Unfractionated Heparin Anticoagulation in a Pediatric Cardiac ICU.

Critical care explorations·2026

Same author

Clinical Utility of Urinary Liver-Type Fatty Acid-Binding Protein Measured via Point-of-Care Testing in Acute Kidney Injury After Transcatheter Aortic Valve Implantation.

Nephrology (Carlton, Vic.)·2026

Search research articles

Related Experiment Video

Updated: May 3, 2026

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing

Published on: December 1, 2023

Glottis Recognition Software Development Using Artificial Intelligence.

Yasushi Masumori¹, Soichiro Inoue¹, Yusuke Seino¹

¹Anesthesiology, St. Marianna University School of Medicine, Kawasaki, JPN.

|July 2, 2024

Summary

This summary is machine-generated.

Artificial intelligence (AI) can accurately identify key anatomical structures during tracheal intubation using video laryngoscope images. This AI model achieved over 95% accuracy in marking the epiglottis and vocal cords, aiding visualization.

Keywords:

artificial intelligence automatic endotracheal intubation endotracheal intubation video laryngoscope vocal cord recognition

More Related Videos

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications

Published on: January 5, 2024

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

Related Experiment Videos

Last Updated: May 3, 2026

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing

Minimally Invasive Murine Laryngoscopy for Close-Up Imaging of Laryngeal Motion During Breathing and Swallowing

Published on: December 1, 2023

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications

Author Spotlight: Advancements in the Fabrication of Synthetic Vocal Fold Models for Phonetic and Robotic Applications

Published on: January 5, 2024

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

Area of Science:

Medical Imaging
Artificial Intelligence
Anesthesiology

Background:

Video laryngoscopes improve vocal cord visualization for tracheal intubation.
Artificial intelligence (AI) image recognition can potentially enhance anatomical comprehension during procedures.

Purpose of the Study:

To investigate the accuracy of an AI model in identifying the glottis and surrounding structures in video laryngoscope images.
To assess AI's ability to aid in visual identification of anatomical landmarks during simulated tracheal intubation.

Main Methods:

An AI model was developed using image data from manikin bronchoscopy with recording capabilities.
Image preprocessing and annotation of vocal cords, epiglottis, and glottis were performed, including human annotation.
AI-determined anatomical structures were color-coded for enhanced visual identification.

Main Results:

The AI model achieved over 95% accuracy (0.9516) in recognizing the epiglottis and vocal cords.
The AI successfully marked the glottis, epiglottis, and vocal cords during simulated tracheal intubation.
AI-generated markings significantly improved the visual identification accuracy of these structures.

Conclusions:

AI image recognition is effective in identifying critical anatomical structures during video laryngoscopy.
The developed AI model demonstrates high accuracy and potential to assist in tracheal intubation procedures.
AI holds promise for enhancing anatomical understanding and procedural guidance in airway management.