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

Anatomy of the Intestines01:23

Anatomy of the Intestines

87.1K
Although digestion of proteins, carbohydrates, and lipids may begin in the stomach, it is completed in the intestine. The absorption of nutrients, water, and electrolytes from food and drink also occurs in the intestine. The intestines can be divided into two structurally distinct organs—the small and large intestines.
Small Intestines
The small intestine is an ~7 meter-long tube with an inner diameter of just 2.5 cm. Since most nutrients are absorbed here, the inner lining of the...
87.1K
Machines01:19

Machines

563
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
563
Machines: Problem Solving II01:30

Machines: Problem Solving II

652
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.
652
Machines: Problem Solving I01:22

Machines: Problem Solving I

698
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
698
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.5K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.5K
Base Excision Repair01:54

Base Excision Repair

26.1K
One of the common DNA damages is the chemical alteration of single bases by alkylation, oxidation, or deamination. The altered bases cause mispairing and strand breakage during replication. This type of damage causes minimal change to the DNA double helix structure and can be repaired by the base excision repair (BER) pathways. BER corrects damaged DNA sequences by removing the damaged base and restoring the original base sequence using the complementary strand as a template.
The first step of...
26.1K

You might also read

Related Articles

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

Sort by
Same author

The hypoglycemic metabolites and potential mechanisms of <i>Lilium lancifolium</i> (<i>Juandan</i> lily).

Frontiers in pharmacology·2026
Same author

Advances in nano-TCM for Alzheimer's disease: lipid-based carriers integrated with innovative delivery strategies.

Journal of nanobiotechnology·2026
Same author

Effects of ultrasound-assisted freezing and high-voltage electric field thawing on quality of precooked duck meat.

Frontiers in nutrition·2026
Same author

Ornithinibacillus liuyingii sp. nov.: a novel multidrug-resistant and potentially pathogenic bacterium isolated from Apodemus chevrieri lung tissue.

BMC microbiology·2026
Same author

When to Consider AIH-PBC Overlap Syndrome in the Pathology Report.

The American journal of surgical pathology·2026
Same author

Hepatotoxicity Assessment of Anshenbunao Syrup by Multi-Component Quantification In Vivo/In Vitro and Cell Biological Evaluations.

Pharmaceuticals (Basel, Switzerland)·2026
Same journal

Assessing Human Epidermal Growth Factor Receptor 2 in Urothelial Carcinoma: Insights From Clinical Practice Into Scoring Criteria, Histologic Subtypes, and Genomic Characteristics Across Disease Sites.

Archives of pathology & laboratory medicine·2026
Same journal

Cross-Reactivity of TPIT Antibody Clone OTI2G1 in Chordoma: Structural Mechanisms and Diagnostic Implications.

Archives of pathology & laboratory medicine·2026
Same journal

Paracoccidioidomycosis at Autopsy: A Case Series and Literature Review.

Archives of pathology & laboratory medicine·2026
Same journal

Accuracy of Cytology Diagnosis for Well Differentiated Neuroendocrine Tumors: Assessment by the College of American Pathologists Non-Gynecologic Slide Program.

Archives of pathology & laboratory medicine·2026
Same journal

Serum Immunofixation Electrophoresis Guidance Conflict: A Call to Harmonize.

Archives of pathology & laboratory medicine·2026
Same journal

In Reply.

Archives of pathology & laboratory medicine·2026
See all related articles

Related Experiment Video

Updated: Jan 24, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

951

Machine Learning-Based Detection of Intestinal Metaplasia Identifies Clinically Missed Cases.

John A Willis, Jacqueline Emerson, Wei Chen

    Archives of Pathology & Laboratory Medicine
    |January 22, 2026
    PubMed
    Summary
    This summary is machine-generated.

    An artificial intelligence pipeline can identify missed cases of gastric intestinal metaplasia (a precursor to gastric cancer) in biopsy specimens. This AI tool also accurately quantifies the condition, potentially improving patient management.

    More Related Videos

    Constructing and Visualizing Models using Mime-based Machine-learning Framework
    06:19

    Constructing and Visualizing Models using Mime-based Machine-learning Framework

    Published on: July 22, 2025

    2.4K
    Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
    07:15

    Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

    Published on: August 16, 2020

    7.4K

    Related Experiment Videos

    Last Updated: Jan 24, 2026

    Asthma Detection Research Based on Voice Signal Processing and Machine Learning
    04:04

    Asthma Detection Research Based on Voice Signal Processing and Machine Learning

    Published on: July 22, 2025

    951
    Constructing and Visualizing Models using Mime-based Machine-learning Framework
    06:19

    Constructing and Visualizing Models using Mime-based Machine-learning Framework

    Published on: July 22, 2025

    2.4K
    Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
    07:15

    Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

    Published on: August 16, 2020

    7.4K

    Area of Science:

    • Gastroenterology
    • Computational Pathology
    • Oncology

    Background:

    • Gastric intestinal metaplasia (GIM) is a significant risk factor for gastric cancer.
    • Accurate diagnosis of GIM is crucial for clinical decision-making and patient management.
    • Current diagnostic methods may be subject to missed diagnoses.

    Purpose of the Study:

    • To develop and evaluate an artificial intelligence (AI) pipeline for detecting missed GIM diagnoses.
    • To create automated approaches for quantifying GIM from pathology data.
    • To assess the performance of AI in reviewing whole slide images and pathology reports.

    Main Methods:

    • An AI pipeline, including a patch-based classifier, was developed for GIM detection.
    • The pipeline analyzed 1935 gastric biopsy specimens, comparing AI findings with clinical pathology reports.
    • Discrepant cases were reviewed by three independent pathologists; a large language model evaluated report text.

    Main Results:

    • The AI pipeline identified previously undetected GIM in 30 of 297 reviewed cases (approximately 1.5% of specimens).
    • AI quantification of GIM showed strong agreement with human scoring (Spearman correlation coefficient = 0.90).
    • A large language model achieved 99.3% accuracy in categorizing pathology reports for GIM presence.

    Conclusions:

    • An AI-based quality assurance pipeline can detect missed GIM, addressing a diagnostic gap.
    • Automated AI analysis offers quantitative insights potentially aiding in GIM management.
    • AI tools show promise in improving the accuracy and efficiency of GIM diagnosis.