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
Thales AVS France

Download Mobile App




Events

ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

New AI Software Accurately Detects Lung Cancers on X-Rays and Cuts Unnecessary Chest CT Scans by 30%

By MedImaging International staff writers
Posted on 06 Aug 2021
Print article
Illustration
Illustration
A recent study has shown that a deep learning-based artificial intelligence (AI) algorithm can improve the performance of readers in detecting lung cancers on chest radiographs.

According to the second joint study conducted by Massachusetts General Hospital (Boston, MA, USA) and Lunit Inc. (Seoul, Korea), AI had 28% sensitivity benefit for radiology residents, helping them properly recommend CT exams for potential lung cancer patients, and 30% specificity benefit for radiologists in lung cancer detection, reducing unnecessary CT exams. The joint research team has previously focused on validating the accuracy of AI, and proved that Lunit INSIGHT CXR, an AI software for analyzing chest X-rays, can accurately detect malignant pulmonary nodules, which can cause lung cancer. In this consecutive study, the team focused on whether AI can affect the performance of medical professionals in finding lung cancers.

For the study, 519 images of cancer-positive and cancer-negative patients were selected from the National Lung Screening Trial (NLST). Eight readers, including three radiology residents and five board-certified radiologists, participated in the reading. By comparing the analysis of the readers and Lunit INSIGHT CXR, the result showed that AI could lead to more efficient and precise diagnosis for both doctors and patients. With AI, radiology residents were able to recommend 28% more chest CT examinations for patients who may have potential risk of lung cancer. Also, radiologists recommended about 30% lesser proportion of unnecessary chest CT examinations in cancer-negative patients.

"The use of AI could help to detect pulmonary nodules accurately with chest X-rays, as well as reduce the need for unnecessary chest CT exams in some patients," said Mannudeep K. Kalra, MD, a radiologist at the MGH and Co-investigator on the study. "This finding can benefit patients by enabling them to avoid unneeded radiation exposure, and it can benefit the healthcare system by preventing certain medical costs."

"Chest X-ray is the firsthand diagnostic tool to detect lung cancer, but it has limitations as it is a compressed 2D rendering of 3D human structures," said Brandon Suh, CEO of Lunit. "An accurate analysis through Lunit INSIGHT CXR can help medical professionals provide diagnosis to patients with increased efficiency - preventing potential cancer at an early stage, while saving time and cost for those who do not need a further examination."

Related Links:

Massachusetts General Hospital
Lunit Inc.



Print article
CIRS
Radcal

Channels

Imaging IT

view channel
Illustration

Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology

The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read more

Industry News

view channel
Image: GE Healthcare to be Spun Off in 2023 to Create Pure-Play Company at Center of Precision Health (Photo courtesy of GE Healthcare)

GE Healthcare to be Spun Off in 2023 to Create Pure-Play Company at Center of Precision Health

General Electric (GE; Boston, MA, USA) plans to pursue a tax-free spin-off of GE Healthcare, creating a pure-play company at the center of precision health in early 2023. The spin-off of GE Healthcare... Read more
Copyright © 2000-2021 Globetech Media. All rights reserved.