Meet Lunit X Volpara at RSNA 2024

Explore Key Topics for Discussion

| Recent pivotal scientific evidence

➜ Up to 50% workload reduction: Our breast screening AI can reduce radiologists’ workload by up to 50% while maintaining or even improving screening quality. Read more

➜ Future cancer risk prediction: Our AI for breast screening is capable of estimating future breast cancer risk, predicting cases up to 6 years in advance. Read more

➜ Reducing the interval cancer rate of screening DBT: AI solution can help increase the detection of interval cancers on screening mammograms that were missed by two human readers while maintaining a 4% recall rate, similar to the radiologists’ RR. Read more

| Recent groundbreaking news

🇺🇸 Volpara Health, a Lunit Company, has signed a significant five-year contract with the U.S. Defense Health Agency to enhance breast cancer screening and patient management for military members and their families.

🇺🇸 Lunit and Volpara have supplied SecondReadAI, an advanced AI solution for breast cancer screening, to Rezolut, a leading imaging group in the United States.

🇫🇷 Lunit partnered with Vidi, the largest private radiology network in France, to provide confidence by ensuring nothing is missed without increasing false positives.

🇦🇺 Lunit INSIGHT MMG was recognized as the first AI-driven solution implemented by BreastScreen NSW, a national cancer screening organization. It is now officially up and running.

👏 Book a meeting at RSNA 2024
to discuss AI's transformative impact on screening workflow!

1. [Breast Imaging] Perceptions and Clinical Utilization of AI in Screening | S2-SSBR01 - Session Type: Scientific Poster Sessions
Dec 1, 10:35 AM - 11:30 AM CST / Room S406A

ASSESSING FAIRNESS OF AI: GENERALISABILITY EVALUATION IN WHITE, BLACK, ASIAN, AND MIXED ETHNICITY WOMEN IN A LARGE-SCALE RETROSPECTIVE CLINICAL STUDY IN BREAST CANCER SCREENING | S2-SSBR01-1
EFFECT OF FULL-FIELD DIGITAL MAMMOGRAPHY SOFTWARE VERSION AND VENDOR ON THE PERFORMANCE OF COMMERCIAL DEEP-LEARNING ALGORITHMS FOR BREAST CANCER DETECTION | S2-SSBR01-2
COMBINING TWO OR THREE AI CAD SYSTEMS TO REPLACE RADIOLOGIST DOUBLE-READ AND CONSENSUS DISCUSSION IN BREAST CANCER SCREENING - A RETROSPECTIVE EVALUATION | S2-SSBR01-3
PUTTING IT IN PERSPECTIVE: AI TRIAGE STREAMLINING SCREENING MAMMOGRAM TURNAROUND TIME (TAT) AMID STAFF SHORTAGES | S2-SSBR01-5

2. [Breast Imaging] Sunday Afternoon Poster Discussions 1 I S3A-SPBR - Session Type: Scientific Poster Sessions
Dec 1, 11:45 AM - 12:15 PM CST / Learning Center

AI SOFTWARE PERFORMANCE IN UNILATERAL MAMMOGRAPHY: SIMULATING TOTAL MASTECTOMY SCENARIOS | S3A-SPBR-6
HIGH AI SCORE ON SCREENING MAMMOGRAMS BUT NO BREAST CANCER: A BLINDED CONSENSUS REVIEW OF 382 CASES | S3A-SPBR-10

3. [Breast Imaging] AI and Screening | S5-SSBR02 - Session Type: Scientific Sessions
Dec 1, 2:30 PM - 3:30 PM CST / Room S406A

ARTIFICIAL INTELLIGENCE SHOULD ONLY READ A MAMMOGRAM WHEN IT IS CONFIDENT: A HYBRID BREAST CANCER SCREENING READING STRATEGY | S5-SSBR02-1
USE OF ARTIFICIAL INTELLIGENCE TO REDUCE THE INTERVAL CANCER RATE OF SCREENING DIGITAL BREAST TOMOSYNTHESIS | S5-SSBR02-2
REAL-WORLD IMPACT OF AI CAD IN POPULATION-BASED BREAST CANCER SCREENING - COMPARING SCREENING METRICS BEFORE AND AFTER THE SCREENTRUSTCAD TRIAL | S5-SSBR02-3
IMPLEMENTATION OF A CONVOLUTIONAL NEURAL NETWORK-BASED DETECTION SOFTWARE AS AN INDEPENDENT THIRD READER IN THE GERMAN MAMMOGRAPHY SCREENING: A PROSPECTIVE STUDY | S5-SSBR02-4
EARLY ALERTS - AN ANALYSIS OF TEMPORAL CHANGES IN THREE MAMMOGRAPHY-BASED ARTIFICIAL INTELLIGENCE ALGORITHM SCORES OVER THE COURSE OF A PATIENT’S SCREENING TIMELINE | S5-SSBR02-5
OPTIMISING BREAST SCREENING PATHWAY INTEGRATION: A COMPARATIVE ANALYSIS OF AI WORKFLOWS IN A PROSPECTIVE EVALUATION | S5-SSBR02-6

1. [Breast Imaging] Screening Modalities Analyses and Mode of Detection | M1-SSBR04 - Session Type: Scientific Sessions
Dec 2, 8:00 AM - 9:00 AM CST / Room S406A

ENHANCING MAMMOGRAPHY SCREENING: A COMPARATIVE ANALYSIS OF AI ENSEMBLE STRATEGIES | M1-SSBR04-4
PERFORMANCE OF A COMMERCIAL DIGITAL BREAST TOMOSYNTHESIS CANCER DETECTION MODEL IN A LARGE, RACIALLY DIVERSE US SCREENING POPULATION | M1-SSBR04-5

2. [Breast Imaging] Monday Morning Poster Discussions | M2-SPBR - Session Type: Scientific Poster Sessions
Dec 2, 9:00 AM - 9:30 AM CST / Learning Center

POST-MARKET SURVEILLANCE OF AI IN A BREAST CANCER SCREENING SETTING | M2-SPBR-9

3. [Breast Imaging] Monday Afternoon Poster Discussions 1 I M5A-SPBR - Session Type: Scientific Poster Sessions
Dec 2, 12:15 PM - 12:45 PM CST / Learning Center

ARTIFICIAL INTELLIGENCE (AI)-BASED MAMMOGRAPHY SCORES FOR PREDICTING LYMPH NODE METASTASIS IN EARLY-STAGE BREAST CANCER | M5A-SPBR-6
FEATURE ANALYSIS OF SCREENING DETECTED CANCER AND MISSED CANCER OF ARTIFICIAL INTELLIGENCE-BASED COMPUTER-ASSISTED DIAGNOSIS (AI-CAD) ON AI-STREAM STUDY | M5A-SPBR-7
EXTERNAL MULTI-CENTER MULTI-MANUFACTURER VALIDATION OF A MAMMOGRAPHY-BASED AI SCORE TO SELECT PATIENTS FOR SUPPLEMENTAL BREAST CANCER SCREENING | M5A-SPBR-8
AN AI-GUIDED REVIEW PROCESS LOWERS RECALL RATES WHILE MAINTAINING CANCER DETECTION RATES | M5A-SPBR-9
COMPARISON OF THE RISK SCORE FOR CANCER DETECTION ON SCREENING MAMMOGRAMS GIVEN BY AN AI ALGORITHM AND THE RADIOLOGISTS | M5A-SPBR-10

1. [Chest Imaging] Radiography | T6-SSCH06 - Session Type: Scientific Sessions
Dec 3, 1:30 PM - 2:30 PM CST / Room E451A

REAL-WORLD, POST-MARKET SURVEILLANCE STUDY OF A CHEST X-RAY AI MODEL IN A MULTICENTER STUDY | T6-SSCH06-1
LOCAL VALIDATION OF A COMMERCIAL AI SYSTEM FOR AUTONOMOUS REPORTING OF CHEST RADIOGRAPHS: A LARGE-CENTRE UK RETROSPECTIVE ANALYSIS | T6-SSCH06-2

2. [Breast Imaging] AI Radiologist Performance and Workflow | T7-SSBR07 - Session Type: Scientific Sessions
Dec 3, 3:00 PM - 4:00 PM CST / Room S406A

TWO DATA-DRIVEN METHODS TO SET RADIOLOGIST PERFORMANCE GUIDELINES IN THE CONTEXT OF AI ASSISTANCE | T7-SSBR07-1
AI SCORE ON SCREENING MAMMOGRAMS BY TIME | T7-SSBR07-2
ARTIFICIAL INTELLIGENCE MAMMOGRAPHY INTERPRETATION SYSTEMS ARE MORE AFFECTED BY MAMMOGRAPHIC IMAGE QUALITY ISSUES THAN RADIOLOGISTS | T7-SSBR07-3
COMPARING DIFFERENT SCENARIOS FOR THE COMBINED USE OF TWO COMMERCIAL AI ALGORITHMS TO IMPROVE MAMMOGRAPHY INTERPRETATION AND DECREASE RADIOLOGIST WORKLOAD | T7-SSBR07-5
PERFORMANCE OF AN ARTIFICIAL INTELLIGENCE SYSTEM ON SCREENING DIGITAL BREAST TOMOSYNTHESIS CASES IN DENSE AND NOT DENSE BREASTS | T7-SSBR07-6

1. [Emergency Radiology] Scientific Session 2 | W3-SSER02 - Session Type: Scientific Sessions
Dec 4, 9:30 AM - 10:30 AM CST / Room N228

DOES AI ASSISTANCE IMPROVE CLINICIAN INTERPRETATION OF INPATIENT AND EMERGENCY DEPARTMENT CHEST X-RAYS? | W3-SSER02-6

1. [Breast Imaging] AI and Treatment Applications | R1-SSBR10 - Session Type: Scientific Sessions
Dec 5, 8:00 AM - 9:00 AM CST / Room S406A

USING ARTIFICIAL INTELLIGENCE (AI) SCORES FOR MAMMOGRAPHY INTERPRETATION IN PREDICTING RECURRENCE AFTER DCIS TREATMENT | R1-SSBR10-1

2. [Chest Imaging] Thursday Afternoon Poster Discussions 2 | R5B-SPCH - Session Type: Scientific Poster Sessions
Dec 5, 12:45 PM - 1:15 PM CST / Learning Center

ROLE OF AI FOR CHEST X-RAY INTERPRETATION: IS IT A VALID SUPPORT? | R5B-SPCH-4
ARTIFICIAL INTELLIGENCE APPLIED TO PRE-OPERATIVE CHEST X-RAYS: CAN WE ENTRUST AUTOMATED READINGS? | R5B-SPCH-8