Feb 18, 2021 — 4 min read
“AI? I am hearing about AI everywhere I go.”
“But has it reached the level where I can use it in my daily practice? Can I really rely on AI analysis results for breast cancer detection?”
“Lunit AI for mammography? Has the software performance been validated?”
“What does the clinical evidence say?”
We are going to answer your questions by reviewing the key findings of each study published in major peer-reviewed journals.
According to the study published in The Lancet Digital Health, using Lunit AI solution, radiologists can improve their diagnostic performance for breast cancer. In particular, general radiologists significantly improved their diagnostic performance, at a level up to that of breast specialists.
Lunit AI algorithm also demonstrated high sensitivity in detecting early breast cancer such as T1 and node-negative breast cancer.
This study demonstrates that Lunit AI solution can be used as an effective diagnostic support tool in various clinical settings.
According to the study published in The Lancet Digital Health, Lunit INSIGHT MMG can safely rule out normal cases without missing any breast cancers, and detect more cancers which are normally identifiable in the next round of screening.
An abnormality score is the AI’s confidence level on the existence of detected breast cancer.
When deployed as a single reader without radiologists, Lunit INSIGHT MMG successfully triaged cases with low 60% of abnormality scores without missing any screen-detected cancer.
On the contrary, does Lunit AI solution accurately detect more breast cancers on mammograms with high abnormality scores? 32~35% of the entire cancer cases that were diagnosed negative by radiologists, but had the top 2~5% of AI scores, were detected to have cancer in the next round of screening.
This finding suggests you two things:
First, you can rely on Lunit AI solution in triaging normal cases and focus on abnormal cases, ultimately reducing your workload by more than half in mammogram interpretation.
Secondly, you can use the AI result to reduce false-negative recalls, and order the next round of exams such as ultrasound and biopsy for the patients who are highly suspicious of having breast cancer.
According to the study published in JAMA Oncology, Lunit INSIGHT MMG outperformed other commercially available AI solutions in breast cancer detection.
According to the study, the combination of first-reader radiologists and Lunit INSIGHT MMG outperformed not only the first-reader and second-reader radiologists but also the double reading by radiologists.
This outcome shows the potential value of Lunit INSIGHT MMG as a second reader, which ultimately enables radiologists to allocate their time and resources more efficiently.
Try Lunit AI solution now at insight.lunit.io. Once you upload DICOM images, you will get the AI results within seconds.
Using AI to better manage COVID-19
Lunit to unveil data-driven imaging biomarker at RSNA 2016
Lunit INSIGHT: The First-ever, Real-time Imaging AI Analytics on the Web
Cognitive biases and augmented intelligence in radiology
Uncertainty and Deep Learning
Lunit Returns to RSNA with Real-time Imaging Platform, Featuring Cloud-based A
Lunit Unveils “Lunit INSIGHT,” A New Real-time Imaging AI Platform on the Web at RSNA 2017
Lunit INSIGHT: Q&A with Brandon B. Suh, Chief Medical Officer at Lunit
Lunit Opens “Lunit INSIGHT for Mammography” for Public Access
Lunit Brings its Newest AI Solution for Mammography to RSNA 2018
Lunit Partners with Fujifilm and Salud Digna to Provide Medical AI Solution in Mexico
Lunit announces new members in its advisory board: Dr. Eliot Siegel, Dr. Linda Moy, and Dr. Khan Siddiqui
Lunit to Showcase AI Solution for Breast Cancer at SBI 2019
Lunit Receives Korea MFDS Approval for its AI Solution for Breast Cancer, Lunit INSIGHT MMG
Lunit Gets Korea MFDS Approval for its AI Solution for Chest X-ray, Lunit INSIGHT CXR 2
Lunit at RSNA 2019
Lunit Announces its First CE Mark for AI-Powered Chest X-ray Analysis Software, Lunit INSIGHT CXR
Lunit AI software clinically installed in global sites—to be presented at RSNA 2019
AI-assisted Radiologists Can Detect More Breast Cancer with Reduced False-positive Recall
Lunit INSIGHT MMG, an AI Solution for Breast Cancer Detection, Now CE Certified
Lunit at ECR 2020: Providing Virtual Exhibition and Online Presentations
Emergent Connect Partners with Lunit to Provide Cloud Based AI Solutions
AI Analysis Can Improve Lung Cancer Detection on Chest Radiographs
AI has Added Value in Insurance Underwriting Process, Recent Pilot Project Between Lunit and Cathay Financial Innovation Lab Reveals
RSNA 2020--Lunit Collaborates with Global Giants in Presenting its AI Solution at Virtual Booths of GE Healthcare, FujiFilm, and Sectra
AI Proves Its Value in Assistance for Emergency Cases-- With Higher Accuracy and Timely Reporting Time of Chest Radiographs
Lunit Expands Collaboration with GE Healthcare to Advance AI Adoption across Healthcare Industry
AI Can Offer Fast and Reliable Examination to Triage COVID-19 Patients-- A Multicenter Retrospective Study Reveals
Recent Studies Reveal High Performance of Lunit AI in Breast Cancer Detection
South Korean Medical AI Provider and PACS Leader Enters Indonesian Market, to Help COVID-19 Screening and Diagnosis
What do medical studies say about AI for COVID-19 management?
Research Using Lunit Demo Website
Lunit Presents AI-powered Pathologic Classification of Immune Phenotype that Predicts Response to Immunotherapy at USCAP 2021
What do the medical journals say about AI-powered chest x-ray interpretation?
Join our webinar with Dr. Fredrik Strand
From retrospective to prospective trials of AI in breast cancer screening
AACR 2021 - Lunit Presents Abstracts Demonstrating the Potential of its AI Biomarker in Cancer Treatment
Will AI Identify Breast Cancer Better Than Radiologists in Actual Clinical Screening?
Case of the Month | Where Is Breast Cancer?
AI-based Analysis of Cancer Tissue Predicts Response to Immunotherapy--Findings to Be Presented at ASCO 2021
Clinical Application of Lunit AI For Chest Radiography and Mammography to Be Presented at AOCR 2021
Lunit Secures $26M Investment from Guardant Health in a Strategic Funding Round
A Multi-reader Study Finds Unnecessary CT Exams Can Be Reduced by 30% When Analyzing Chest Radiographs with AI
Fujifilm Introduces its AI-powered Product for Chest X-ray in Japan, in Collaboration with Lunit
Lunit Collaborates with Intel to Provide AI Solutions to CPU-Based Customers in Need of Effective X-ray Diagnosis
Lunit AI Applied to Clinical Trial for Drug Development for the First Time--Findings Presented at ESMO 2021
Case of the Month (Chest x-ray)
COVID Global User Testimonials
Where is Cancer?
Breast Cancer Awareness Month — Ambassador Messages
TimeSformer: Is Space-Time Attention All You Need for Video Understanding?