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

Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy

Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy

This lesson explores three gastrointestinal imaging techniques: radionuclide testing, colonic transit studies, and virtual colonoscopy.
Radionuclide Testing
Radionuclide testing is a sophisticated medical technique for assessing gastrointestinal motility. It focuses on gastric emptying and colonic transit time. Radioactive markers track the movement of food through the digestive system, providing insights into gastrointestinal disorders.
In gastric emptying studies, a meal's liquid and...

You might also read

Related Articles

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

Sort by

Same author

Automated quantification of retinal non-perfusion areas in ultra-widefield SS-OCTA image of patient with retinal vascular diseases by NP-Unet model.

BMJ open ophthalmology·2025

Same author

Synergistic Tuning of Heterovalent States and Oxygen-Vacancy Defect Engineering in Hydrophilic W-Doped Sb<sub>2</sub>OS<sub>2</sub> for Enhanced Nitrogen Photoreduction to Ammonia.

ACS applied materials & interfaces·2024

Same author

Knowledge, attitudes, and practices of adolescent depression among parents of children diagnosed with depression in Ningbo City, eastern China.

Frontiers in public health·2024

Same author

The validity of neoadjuvant chemotherapy with paclitaxel plus S-1 is not inferior to that of SOX regimen for locally advanced gastric cancer: an observational study.

BMC cancer·2022

Same author

Validating automated eye disease screening AI algorithm in community and in-hospital scenarios.

Frontiers in public health·2022

Same author

MiRNA-199a-5p targets WNT2 to regulate depression through the CREB/BDNF signaling in hippocampal neuron.

Brain and behavior·2021

Search research articles

Related Experiment Video

Updated: Sep 3, 2025

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases

Published on: March 11, 2016

A Multicenter Clinical Study of the Automated Fundus Screening Algorithm.

Fei Li¹, Jianying Pan¹, Dalu Yang²

¹State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China.

Translational Vision Science & Technology

|July 26, 2022

Summary

Automated fundus screening software effectively detects diabetic retinopathy, glaucoma, and macular diseases with high accuracy. This AI tool enhances eye disease screening, particularly where specialists are limited.

More Related Videos

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Published on: May 25, 2020

Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies

Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies

Published on: October 22, 2014

Related Experiment Videos

Last Updated: Sep 3, 2025

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases

Published on: March 11, 2016

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

Published on: May 25, 2020

Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies

Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies

Published on: October 22, 2014

Area of Science:

Ophthalmology
Artificial Intelligence in Healthcare
Medical Imaging Analysis

Background:

Automated screening tools are emerging for eye disease detection.
Evaluating AI performance against human experts is crucial for clinical adoption.

Purpose of the Study:

To assess the effectiveness of automated fundus screening software.
To compare AI-detected eye diseases against human expert diagnoses.

Main Methods:

Prospective enrollment of 1743 subjects across seven hospitals in China.
Fundus images were analyzed by both an AI algorithm and a human expert Image Reading Center.
Comparison of AI results against expert grading to meet predefined sensitivity and specificity targets.

Main Results:

1585 subjects provided qualified images; prevalence of referable diabetic retinopathy (RDR), glaucoma suspect (GCS), and referable macular diseases (RMD) were 20.4%, 23.2%, and 49.0%.
High overall sensitivity (0.948 for RDR, 0.891 for GCS, 0.901 for RMD) and specificity (0.954 for RDR, 0.993 for GCS, 0.955 for RMD) were achieved.
The study met its endpoint goals for sensitivity and specificity for all three target diseases.

Conclusions:

Automated fundus screening software shows high sensitivity and specificity for detecting RDR, GCS, and RMD.
AI software can improve eye disease screening efficiency, especially in primary care settings with limited ophthalmologists.