Mar 17, 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?”
“Lunit AI for chest x-ray? 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 such as JAMA Network Open and European Respiratory Journal.
According to the study published in JAMA Network Open, using Lunit AI solution, non-radiology physicians, radiologists, and even thoracic radiologists can improve their diagnostic performance for chest abnormalities.
Lunit AI algorithm detects pulmonary nodules, pneumothorax, pneumonia, and active tuberculosis. The list goes on.
This finding suggests that Lunit AI solution can be used as a reliable second reader not only in radiology departments, but also in clinical departments.
According to the study published in Radiology, using Lunit AI solution, the number of overlooked lung cancers on chest x-ray exams decreased.
Let’s take a look at a clinical case from the study.
This is the chest x-ray of a 52-year-old woman from her initial exam. There is a small nodule overlapped by the left hilar shadow, which was overlooked during the exam.
After a year and a half, the patient took another exam and was diagnosed with stage four lung cancer.
What if Lunit AI had been used during the initial exam?
According to the study, only two out of nine radiologists could detect this lung nodule. However, with Lunit AI, all nine radiologists successfully found it. If Lunit AI had been used in the reading, the patient could have been diagnosed with early stage lung cancer and received proper treatments a year and a half earlier.
Lunit abnormality score shows how confident the AI is with its detection.
You can sort the exams on the worklist according to this score, up from the exams with the most suspicious abnormal findings, down to the exams with the lowest. You can prioritize images in this reading order.
According to the study published in the European Respiratory Journal, using the AI result-embedded PACS worklist, radiologists could reduce their overall reading time (from 23.5 to 20.5 seconds; 13% reduction).
In particular, they spent a significantly shorter time reading normal cases. (from 17.9 to 13.5 seconds; 33% reduction)
This outcome shows that Lunit AI solution can guide you in deciding which image requires your urgent attention, ultimately reducing your reading time.
These studies demonstrate that by improving the reading accuracy and efficiency, Lunit INSIGHT CXR can contribute to improving the overall patient care outcomes.
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?
What do the medical journals say about AI-powered mammography?
Research Using Lunit Demo Website
Lunit Presents AI-powered Pathologic Classification of Immune Phenotype that Predicts Response to Immunotherapy at USCAP 2021
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?
Evaluation curves for object detection algorithms in medical images
Lunit to Participate in RSNA 2021, Presenting its New AI Solutions for Digital Breast Tomosynthesis and Chest CT
RadLink, Singapore’s Leading Imaging Center, Adapts Lunit AI to Analyze Chest X-rays and Mammograms
Lunit Presents Studies at SITC 2021, Highlighting the Effectiveness of AI in Predicting Response to Immunotherapy in a Clinical Trial Setting
Lunit Gets FDA Nod for AI-based Chest X-ray Triage Solution, Developed for Sorting of Emergency Cases
Lunit's AI Software for Breast Cancer Detection, Lunit INSIGHT MMG, Wins FDA Clearance
Research Backs Clinical Efficacy of Lunit's Radiology AI Products; Abstracts to be Presented at RSNA 2021
Medical AI Provider Lunit Raises $61M in Funding Round Led By Major Global Healthcare Investors
Lunit Named to the 2021 CB Insights Digital Health 150 -- List of Most Innovative Digital Health Startups
Lunit Obtains MDSAP Certificate, Granted Fast-Track Regulatory Process in Major Countries
Lunit to Showcase Chest and Breast Radiology AI in Arab Health 2022
Baheya Foundation, Egypt’s Premier Destination for Breast Cancer, Adopts Lunit AI to Enhance Early Screening
Lunit AI Demonstrates Accuracy in Practical Assessment of Cancer Tissue-Findings to Be Presented at USCAP 2022
Case of the Month (Chest x-ray) - Tuberculosis Case
Medical AI Startup Lunit gets Preliminary Approval to go Public on KOSDAQ
Lunit AI solution for PD-L1 expression analysis receives CE mark
Lunit AI Biomarker PD-L1 Demonstrates Clinical Efficacy as Diagnostic Aid in Cancer Treatment–Published in the European Journal of Cancer