We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App

Artificial Intelligence May Support Endoscopic Diagnosis of Early Gastric Cancer

By HospiMedica International staff writers
Posted on 19 May 2022
Print article
Image: A study has demonstrated accuracy of AI in endoscopic diagnosis of early gastric cancer (Photo courtesy of Pexels)
Image: A study has demonstrated accuracy of AI in endoscopic diagnosis of early gastric cancer (Photo courtesy of Pexels)

Gastric cancer (GC) is the fifth most common cancer worldwide and the third leading cause of cancer death. Endoscopy is the most powerful tool for detection and diagnosis of GC, but the accuracy of detection depends on the experience of the endoscopists and is complicated by various factors of the gastrointestinal (GI) tract. Artificial intelligence (AI) for GC diagnosis has been discussed in recent years. The role of AI in early GC is more important than in advanced GC since early GC is not easily identified in clinical practice. However, past syntheses appear to have limited focus on the populations with early GC. Now, the findings of a new study support the diagnostic accuracy of AI in the diagnosis of early GC from endoscopic images.

Researchers at Taipei Medical University (Taipei, Taiwan) conducted a systematic review from database inception to June 2020 of all studies assessing the performance of AI in the endoscopic diagnosis of early GC. Studies not concerning early GC were excluded. The outcome of interest was the diagnostic accuracy (comprising sensitivity, specificity, and accuracy) of AI systems. Study quality was assessed on the basis of the revised Quality Assessment of Diagnostic Accuracy Studies. Meta-analysis was primarily based on a bivariate mixed-effects model. A summary receiver operating curve and a hierarchical summary receiver operating curve were constructed, and the area under the curve was computed.

The researchers analyzed 12 retrospective case control studies (n=11,685) in which AI identified early GC from endoscopic images. The pooled sensitivity and specificity of AI for early GC diagnosis were 0.86 (95% CI 0.75-0.92) and 0.90 (95% CI 0.84-0.93), respectively. The area under the curve was 0.94. Sensitivity analysis of studies using support vector machines and narrow-band imaging demonstrated more consistent results. For early GC, this was the first synthesis study on the use of endoscopic images in AI in diagnosis. Based on the findings, the researchers concluded that AI may support the diagnosis of early GC. However, the collocation of imaging techniques and optimal algorithms remain unclear. Nevertheless, competing models of AI for the diagnosis of early GC are worthy of future investigation, according to the researchers.

Related Links:
Taipei Medical University

Gold Supplier
12-Channel ECG
Data Management Platform
Orthopedic Table
GS GS-HV Series
Digital Video Colposcope
CS6/CS6 Pro

Print article


Critical Care

view channel
Image: New spray fights infections and antibiotic resistance (Photo courtesy of Chalmers University of Technology)

Hydrogel-Based Spray Kills Antibiotic-Resistant Bacteria in Wounds and Biomedical Implants

Antibiotic resistance has been ranked among the top ten threats to global health by the World Health Organization (WHO). Antibiotic-resistant bacteria is estimated to cause almost 1.3 million deaths annually... Read more

Surgical Techniques

view channel
Image: The Inspira aspiration catheter has received CE Mark approval (Photo courtesy of Infinity Neuro)

Innovative Aspiration Catheter for Treatment of Stroke Delivers Next-Level Navigation Performance

Stroke is a disease that affects the arteries within and leading to the brain. Globally, stroke is the second-leading cause of death and the third-leading cause of death and disability combined.... Read more

Health IT

view channel
Image: Using digital data can improve health outcomes (Photo courtesy of Unsplash)

Electronic Health Records May Be Key to Improving Patient Care, Study Finds

When a patient gets transferred from a hospital to a nearby specialist or rehabilitation facility, it is often difficult for personnel at the new facility to access the patient’s electronic health records... Read more

Point of Care

view channel
Image: Steripath improves the diagnostic accuracy and timeliness of sepsis test results (Photo courtesy of Magnolia)

All-in-One Device Reduces False-Positive Diagnostic Test Results for Bloodstream Infections

Blood cultures are considered the gold standard diagnostic test for the detection of blood stream infections, such as sepsis. However, positive blood culture results can be frequently wrong, and about... Read more


view channel
Image: Researchers expect broader adoption of AI in healthcare in the near future (Photo courtesy of Pexels)

Artificial Intelligence (AI) Could Save U.S. Healthcare Industry USD 360 Billion Annually

The wider adoption of artificial intelligence (AI) in healthcare could save the U.S. up to USD 360 billion annually although its uptake in the industry is presently limited owing to the absence of trust... Read more
Copyright © 2000-2023 Globetech Media. All rights reserved.