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

Abnormal Proliferation02:23

Abnormal Proliferation

5.1K
Under normal conditions, most adult cells remain in a non-proliferative state unless stimulated by internal or external factors to replace lost cells. Abnormal cell proliferation is a condition in which the cell's growth exceeds and is uncoordinated with normal cells. In such situations, cell division persists in the same excessive manner even after cessation of the stimuli, leading to persistent tumors. The tumor arises from the damaged cells that replicate to pass the damage to the...
5.1K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

839
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
839
Anatomical Positions01:11

Anatomical Positions

19.7K
In anatomy, several standard anatomical positions are used as references for describing the position and orientation of different body parts. These positions help provide a common frame of reference when discussing anatomical structures. The anatomical position is the standard reference point for describing the body's position and orientation. In this position:
The body is upright, facing forward, and standing erect.
The feet are parallel and flat on the floor.
The arms are hanging by the...
19.7K
Anatomical Terminology01:20

Anatomical Terminology

26.8K
Knowledge of anatomy is essential to understand human biology and medicine. Anatomists and health care professionals use standard terminology to describe the human body with more precision and no ambiguity. Anatomical terms have mostly Greek and Latin-derived roots. Because these languages are rarely used in conversation, the meaning of words remains the same. Each term is made up of a root in between the prefixes and suffixes. The root of a term often refers to an organ, tissue, or condition,...
26.8K
Anatomical Movements00:51

Anatomical Movements

15.5K
Anatomical movements refer to the various actions or motions that can be performed by the body's joints and muscles. These movements are described using specific terms to provide a standardized way of discussing and understanding the range of motion at different joints.
Here are some common anatomical movements:
Flexion and extension motions are in the sagittal (anterior–posterior) plane of motion. These movements take place at the shoulder, hip, elbow, knee, wrist,...
15.5K
Respiratory System Abnormal Finding I: Inspection and Percussion01:30

Respiratory System Abnormal Finding I: Inspection and Percussion

800
Respiratory system abnormalities are a significant concern in healthcare due to their potential to indicate underlying severe conditions like Chronic Obstructive Pulmonary Disease (COPD), asthma, and pneumonia. These abnormalities can often be detected through physical examination methods like inspection and percussion.
Inspection Findings
During an inspection, several findings may suggest the presence of respiratory distress or disease. Pursed-lip breathing, where exhalation is slowed by...
800

You might also read

Related Articles

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

Sort by
Same author

Dual-Layer Grain-Boundary In Situ Polymerization Modulates Elastic Modulus for Mechanically Stable Flexible All-Perovskite Tandem Solar Cells.

ACS applied materials & interfaces·2026
Same author

Gas Adsorption-Driven Electronic Modulation in WO<sub>3</sub>@Cu<sub>3</sub>(HHTP)<sub>2</sub> Heterostructure: Mechanistic Origin of Selective Drift Resistance Room-Temperature Formaldehyde Sensing.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Reply to the Letter to the Editor: Deep learning TMJ MRI-reader-level equivalence is a foundation, not a finish line.

European radiology·2026
Same author

Deep learning for synthetic contrast-enhanced CT and MRI: a scoping review.

European radiology·2026
Same author

Morphological analysis of anatomical structure of nasopharynx in cone-beam computed tomography in Korean population.

Imaging science in dentistry·2026
Same author

Unexpected delayed orofacial symptoms induced by facial cosmetic filler: A report of 3 cases.

Imaging science in dentistry·2026

Related Experiment Video

Updated: Jan 25, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

15.2K

Multimodal deep learning with anatomically constrained attention for screening MRI-detectable TMJ abnormalities from

Hyo-Jung Jung1,2, Dayun Ju3, Chanyoung Kim3

  • 1Department of Orofacial Pain and Oral Medicine, College of Dentistry, Yonsei University, Seoul, Republic of Korea.

NPJ Digital Medicine
|January 23, 2026
PubMed
Summary

Developing an AI screening tool for temporomandibular joint (TMJ) disorders aids early diagnosis. This deep learning framework analyzes radiographs and clinical data to identify TMJ abnormalities, improving patient triage for MRI referrals.

More Related Videos

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

9.0K

Related Experiment Videos

Last Updated: Jan 25, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

15.2K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

9.0K

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Orthodontics

Background:

  • Early diagnosis of temporomandibular disorders (TMDs) is difficult.
  • Intra-articular temporomandibular joint (TMJ) abnormalities require magnetic resonance imaging (MRI) for confirmation.

Purpose of the Study:

  • To develop a comprehensive screening method for MRI-detectable TMJ pathologies.
  • To create an interpretable deep learning framework for TMJ abnormality detection.

Main Methods:

  • Developed a deep learning framework using paired open- and closed-mouth TMJ panoramic radiographs and clinical metadata.
  • Integrated anatomically guided attention, multimodal clinical features, and ensemble learning.
  • Utilized Gradient-weighted Class Activation Mapping for visualization and interpretability.

Main Results:

  • The best-performing ensemble framework achieved an area under the curve of 0.86.
  • Demonstrated balanced classification of MRI-negative and -positive cases.
  • Confirmed focus on condylar regions and showed added value of clinical metadata and spatial attention.

Conclusions:

  • The prototype workflow can effectively triage patients for MRI referral.
  • Supports early detection of TMJ abnormalities.
  • Facilitates timely interventions for temporomandibular disorders.