A Digital Publication for the Practicing Medical Specialist, Industry Executive & Investor

No Carolina / New York

Lunit’s AI-Powered Mammography Analysis Solution Achieves Comparable Diagnostic Performance with Human Readers

Lunit (KRX:328130.KQ), a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, has unveiled the results of a collaborative study with Dr. Yan Chen, Ph.D., Professor of digital screening at the University of Nottingham, United Kingdom. The study, recently published in Radiology, demonstrates that Lunit’s AI-powered mammography analysis solution, Lunit INSIGHT MMG, matches the diagnostic performance of human readers. The study, which involved comparing Lunit’s solution with assessments by 552 human readers, represents a significant milestone in the field of medical imaging and the future of breast cancer detection.

“This first study to apply the Personal Performance in Mammographic Screening (PERFORMS) scheme to AI algorithms marks a remarkable achievement, showcasing our AI’s ability to match human performance in detecting breast cancer. It offers hope to patients worldwide and underscores AI’s potential to enhance cancer detection and treatment outcomes,” said Brandon Suh, CEO of Lunit. “This follows our recent study in The Lancet Digital Health, validating Lunit INSIGHT MMG as a game-changing alternative in breast cancer screening. We’re committed to leveraging AI to transform healthcare and save lives.”

Conducted retrospectively, the study evaluated two PERFORMS test sets, each consisting of 60 challenging cases from the NHSBSP (National Health Service Breast Screening Program), over a three-year period. Human readers assessed these cases between May 2018 and March 2021, while Lunit’s AI-powered mammography analysis solution evaluated them in 2022. The AI algorithm assessed each breast individually and assigned a suspicion of malignancy score to the detected features.

In the study, no significant difference was observed in the AUC (area under the ROC curve) between Lunit’s AI-powered mammography analysis solution (0.93) and human readers (0.88), demonstrating the solution’s ability to excel in breast cancer detection. Additionally, when using recall thresholds to match the mean performance of human readers (90% sensitivity, 76% specificity), Lunit’s AI-powered mammography analysis solution exhibited no significant differences or even stronger performance in sensitivity (91%) or specificity (77%) compared to human readers, highlighting its reliability and consistency.

In conclusion, the study demonstrates that Lunit’s AI-powered mammography analysis solution performs at a level equivalent to that of an experienced radiologist when assessing cases from two enriched test sets provided by the PERFORMS scheme.

“There are no other studies to date that have compared such a large number of human reader performance in routine quality assurance test sets to AI, so this study may provide a model for assessing AI performance in a real-world setting,” said Prof. Chen. “The results of this study provide strong supporting evidence that AI for breast cancer screening can perform as well as human readers.”

SourceLunit
Medical Device News Magazinehttps://infomeddnews.com
Medical Device News Magazine provides breaking medical device / biotechnology news. Our subscribers include medical specialists, device industry executives, investors, and other allied health professionals, as well as patients who are interested in researching various medical devices. We hope you find value in our easy-to-read publication and its overall objectives! Medical Device News Magazine is a division of PTM Healthcare Marketing, Inc. Pauline T. Mayer is the managing editor.

More News!

“For patients in need of cardiovascular or cardiothoracic imaging, the SpotLight Duo is the first cardiothoracic CT incorporating all of Arineta’s patient centric technologies. With one heartbeat, we can provide both high-temporal as well as iso-temporal resolution images that can be used for comprehensive cardiac and thoracic CT assessment,” said Doug Ryan, CEO of Arineta
Building on its ZEISS Medical Ecosystem, several of the new innovations enable seamless data integration and management across the cataract and refractive workflows, creating a new standard for efficient, personalized ophthalmic care.
MinXray MinXray, a leading manufacturer of imaging systems for medical and veterinary use, recently sent its Impact Wireless X-ray system with a group of researchers...
New supply contract to bring Lunit INSIGHT CXR to TeleDiag in France and Lunit INSIGHT MMG to the Central region branch of the Portuguese League Against Cancer
KA Imaging reported a collection of positive metrics to its stakeholders, with revenue four times larger than that of the previous year and a 38% growth in headcount in 2023. The positive trend continues to be observed in Q1 2024.

By using this website you agree to accept Medical Device News Magazine Privacy Policy