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 Experiment Videos

Transferable Deep Reinforcement Learning With Edge-Contour-Depth Fusion for Autonomous Wireless Capsule Endoscopy

Haoxuan Wu1, Haitao Gao2, Qingyang Liu1

  • 1Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|June 12, 2026
PubMed
Summary

Related Concept Videos

Endoscopic Procedures III: Video Capsule Endoscopy01:28

Endoscopic Procedures III: Video Capsule Endoscopy

Capsule endoscopy, or wireless or video capsule endoscopy, is a diagnostic procedure for examining the entire gastrointestinal tract. Patients swallow a capsule about the size of a vitamin tablet. The capsule is equipped with a transmitter, a battery, an LED light source, and a color video camera to capture images throughout the gastrointestinal tract. This procedure is particularly useful for diagnosing conditions such as Crohn's disease, ulcerative colitis, tumors, polyps, ulcers, unexplained...

You might also read

Related Articles

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

Sort by
Same author

Aptamer-functionalized tetrahedral framework nucleic acid delivery of siBhlhe22 for repairing osteoporotic bone defects via dual modulation of PI3K-Akt signaling and purine metabolism.

Journal of nanobiotechnology·2026
Same author

Influence of <i>Vitex negundo</i> encroachment on soil aggregate stability and erosion resistance of grasslands in Northwest Liaoning.

Ying yong sheng tai xue bao = The journal of applied ecology·2026
Same author

Neuro-skeletal units and Smart Analgesia: reprogramming sensory neurons for fracture repair.

Military Medical Research·2026
Same author

Acupuncture-related Digital Joint Infection Managed With Staged Surgery And Oral Antibiotic Therapy.

Journal of visualized experiments : JoVE·2026
Same author

How can reasoning capability empower the AI copilot robot in endoscopic surgery.

NPJ digital medicine·2026
Same author

Skeletal-muscle-targeted non-viral delivery of full-length DMD mRNA for Duchenne muscular dystrophy.

Nature biomedical engineering·2026
Same journal

Frontier Advances of Terpyridine-Zn(II) Complexes: From Molecular Design to Smart Functional Materials.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

CREAT: A CRISPR-Based Genome Trimming Strategy for Systematic Identification of Dispensable Regions and Rapid Genome Reduction.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Metal (n+1)p-nd Orbital Hybridization and Excited-State Metal-Ligand π-Interactions Enable d<sup>10</sup> Carbene-Metal-Amide TADF OLEDs with High Efficiency and Long Operational Lifetime.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Thermoelectric PANI/TeNWs Fiber Based Microsensor for Passive Temperature and Active Chemical Sensing.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Expanded Hepatic Progenitor Cells Featured with Aggregation of α-Synuclein Contribute to Pathologic Bile Duct Regeneration in Biliary Atresia.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Sub-Terahertz Memristor Switches Using MoS<sub>2</sub> by Liquid-Liquid Interface Assembly.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
See all related articles
This summary is machine-generated.

A new deep reinforcement learning framework enables robust autonomous gastric navigation for wireless capsule endoscopy (WCE). This AI-driven approach significantly improves mucosal coverage and reduces procedure time for gastrointestinal diagnostics.

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Gastroenterology

Background:

  • Wireless capsule endoscopy (WCE) offers minimally invasive gastrointestinal visualization but suffers from limited mucosal coverage and navigation method transferability.
  • Existing navigation techniques struggle with patient anatomical variations, hindering widespread clinical adoption.

Purpose of the Study:

  • To develop a transferable, deep reinforcement learning (DRL) framework for autonomous gastric navigation in WCE.
  • To enhance mucosal coverage and procedural efficiency in WCE by overcoming anatomical variability and sim-to-real gaps.

Main Methods:

  • A DRL framework utilizing a lightweight edge-contour-depth fusion module for navigation based on anatomical landmarks.
  • A two-stage sim-to-real pipeline with an adaptive dynamic programming controller to mitigate physical disturbances like latency and peristalsis.
Keywords:
autonomous WCE navigationdeep reinforcement learningmodel transferabilitysim‐to‐real transferwireless capsule endoscopy(WCE)

Related Experiment Videos

  • Policy operates on low-dimensional landmark coordinates, bridging the sim-to-real gap and reducing computational load.

    • Main Results:

    • Simulations across eight patient models achieved >97% coverage within 50 seconds, outperforming standard DRL agents.
    • Ex vivo experiments demonstrated 87% mean coverage and a 53% reduction in procedure time compared to manual control.
    • The framework showed robustness across diverse anatomies and stability against physical disturbances.

    Conclusions:

    • The proposed framework establishes a scalable paradigm for autonomous, high-coverage endoscopic navigation.
    • This advancement facilitates the clinical deployment of intelligent WCE systems for improved gastrointestinal diagnostics.
    • The landmark-guided DRL approach offers a robust and efficient solution for WCE navigation.