Real-World Validation: Lunit AI Proven Successful in 1-Year Breast Cancer Screening Deployment
Real-World Validation: Lunit AI Proven Successful in 1-Year Breast Cancer Screening Deployment
Follow-up to ScreenTrustCAD presented at RSNA 2024 highlights 1-year post-AI adoption success in improving cancer detection, radiologist workload, and screening efficiency
RSNA 2024年會上關於ScreenTrustCAD的後續研究突出展示了人工智能採用成功後一年內在改善癌症檢測、減輕放射科醫師工作量和提高篩查效率方面的成功經驗。
SEOUL, South Korea, Dec. 2, 2024 /PRNewswire/ -- Lunit (KRX:328130.KQ), a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, unveiled follow-up findings from the groundbreaking ScreenTrustCAD trial at the Radiological Society of North America (RSNA) 2024 Annual Meeting. This study, conducted at Capio S:t Göran Hospital in Sweden, reinforces the real-world impact of Lunit INSIGHT MMG, which has successfully replaced one of the two human readers in the hospital's double-reading breast cancer screening protocol.
2024年12月2日,韓國首爾 / PRNewswire -- Lunit (KRX:328130.KQ),作爲癌症診斷和治療領域AI解決方案的領先提供商,向北美放射學會(RSNA)2024年度會議發佈了重大突破性的ScreenTrustCAD試驗的後續發現。這項研究在瑞典Capio S:t Göran醫院進行,進一步證實了Lunit INSIGHt MMG產生的真實影響,在醫院的雙重乳腺癌篩查流程中成功替代了兩名閱片醫師中的一名。
The original ScreenTrustCAD trial (2021–2022), published in The Lancet Digital Health, was the first prospective interventional study to demonstrate that AI could match or even surpass traditional two-radiologist systems. Building on these findings, the hospital fully integrated AI in mid-2023 and became the first in the world to implement AI as an independent reader, fully replacing one radiologist. The new analysis compares screening performance before and after AI adoption, offering real-world validation of Lunit INSIGHT MMG's clinical and operational benefits.
該 原ScreenTrustCAD試驗(2021-2022)發表於《The Lancet Digital Health》,是第一項前瞻性干預性研究,證明人工智能能夠與甚至超過傳統的兩名放射科醫師系統。在這些發現基礎上,醫院於2023年中期完全整合了人工智能,併成爲全球首家將人工智能作爲獨立閱片醫師實施的醫院,完全取代了一名放射科醫師。新的分析比較了AI採用前後的篩查表現,爲Lunit INSIGHt MMG的臨床和運營益處提供了實際驗證。原刊於《The Lancet Digital Health》的ScreenTrustCAD試驗(2021-2022),是第一項前瞻性干預性研究,證明了人工智能可以匹敵甚至超越傳統的雙放射科醫師系統。在這些發現基礎上,醫院於2023年中期完全整合了人工智能,併成爲全球首家將人工智能作爲獨立閱片醫師實施的醫院,完全取代了一名放射科醫師。新的分析比較了AI採用前後的篩查表現,爲Lunit INSIGHt MMG的臨床和運營益處提供了實際驗證。
Real-World Results: Efficiency Gains and Enhanced Screening Metrics
真實世界結果:效率提升和篩查指標增強。
The follow-up study analyzed screening metrics from two nine-month periods: July 2018–March 2019 (pre-AI / pre-COVID) and July 2023–March 2024 (post-AI implementation).
後續研究分析了兩個九個月期間的篩查指標:2018年7月至2019年3月(人工智能採用前/新冠疫情前)和2023年7月至2024年3月(人工智能實施後)。
Key findings include:
將AD04與心理社會干預相結合,可能有利於改變酒精使用障礙疾病的觀念,增加許多原本沒有考慮過該治療的人的需求。
- 11% Decrease in Recall Rates: Recall rates dropped from 2.8% to 2.5%, minimizing unnecessary follow-ups for patients.
- Fewer False Positives: The rate of false positives decreased significantly from 89.6% to 78.0%, reflecting a notable improvement in screening accuracy.
- Improved Positive Predictive Values (PPV): The PPV for recalls increased to 22.1% with AI, compared to 16.9% without AI, indicating fewer unnecessary recalls and a more efficient screening process.
- Increased Cancer Detection Rates: Cancer detection rates increased by 15%, rising from 4.8 (traditional double reading) to 5.5 per 1,000 screened (with AI).
- Reduced Overall Reading Time: Reading time decreased by over 36%, enabling radiologists to allocate more time to complex cases and other critical tasks.
- 召回率減少11%:召回率從2.8%降至2.5%,減少了對患者不必要的後續跟進。
- 假陽性更少:假陽性率從89.6%大幅降至78.0%,反映出篩查準確性顯著提高。
- 改善的陽性預測值(PPV):與未應用人工智能相比,召回的PPV從16.9%增至22.1%,表明減少了不必要的召回,篩查過程更爲高效。
- 癌症檢出率增加:癌症檢出率增加15%,從傳統的雙重閱片模式的4.8上升至每1,000例接受篩查的人中有5.5(應用人工智能)。
- 整體閱片時間縮短:閱片時間縮短了36%以上,使放射科醫師能夠將更多時間用於複雜病例和其他關鍵任務。
These findings demonstrate AI's ability to enhance diagnostic accuracy and significantly improve screening efficiency.
這些發現表明了人工智能提升診斷準確性並顯著改善篩查效率的能力。
Pioneering AI Integration in Breast Screening
在乳腺篩查中開創性地整合人工智能
The adoption of Lunit INSIGHT MMG at Capio S:t Göran Hospital marks a global milestone in AI-driven healthcare. By replacing one human reader, the AI system addresses the growing radiologist shortage while maintaining the rigor of double-reading protocols. Additionally, it reduces recall rates, sparing more women the stress and anxiety of a potential cancer diagnosis. These results align with Lunit's mission to advance equitable, efficient, and high-quality cancer detection while improving patient experiences and outcomes.
在Capio S:t Göran 醫院採用五礦資源的Lunit INSIGHt MMG標誌着以人工智能驅動的醫療保健邁出了全球里程碑。通過替換一名人類閱片醫生,該人工智能系統解決了不斷增長的放射科醫生短缺問題,同時保持了雙重閱片方案的嚴謹性。此外,它減少了複診率,減少了更多婦女可能患癌症的壓力和焦慮。這些結果與Lunit的使命一致,即推進公平、高效和高質量的癌症檢測,同時改善患者的體驗和結果。
"AI has become an indispensable part of our screening program, and these results showcase its potential for broader adoption," said Dr. Karin Dembrower, senior breast radiologist at Capio S:t Göran Hospital and study presenter. "By replacing one radiologist, we've reduced workloads, improved cancer detection rates, and decreased unnecessary recalls. This shift has eliminated overtime on evenings and weekends, allowing radiologists to focus on complex cases—the work we are trained for. For patients, it means faster and more accurate care. Previously, the waiting time for a clinical mammogram was five to six weeks. Now, with AI, it's down to zero."
「人工智能已成爲我們篩查計劃中不可或缺的一部分,這些結果展示了其更廣泛採用的潛力,」Capio S:t Göran 醫院資深乳腺放射科醫師兼研究發表人 Karin Dembrower 博士表示。「通過替換一名放射科醫生,我們減輕了工作量,提高了癌症檢測率,並降低了不必要的複診率。這一轉變消除了晚上和週末的加班,使放射科醫生可以專注於複雜病例——這正是我們接受訓練的工作內容。對患者來說,這意味着更快速和更準確的護理。以前,臨床乳腺X光檢查的等待時間爲五到六週。現在,藉助人工智能,等待時間減少到零。」
"This follow-up to the ScreenTrustCAD trial demonstrates the transformative potential of Lunit INSIGHT MMG in real-world clinical practice," said Brandon Suh, CEO of Lunit. "By reducing reading time by 36% while improving cancer detection rates and screening efficiency, we are proving that AI is not just a tool but a critical partner in addressing global challenges like radiologist shortages and the growing demand for efficient cancer care. As AI continues to reshape radiology, we remain committed to driving innovations that empower clinicians, optimize patient outcomes, and redefine the future of breast cancer screening."
「這個 ScreenTrustCAD 試驗的後續顯示了五礦資源的Lunit INSIGHt MMG 在真實世界臨床實踐中的變革潛力,」Lunit首席執行官 Brandon Suh 表示。「通過減少閱片時間36%,同時提高癌症檢測率和篩查效率,我們證明了人工智能不僅是一種工具,而且是解決放射科醫生短缺和對高效癌症護理需求增長等全球挑戰的關鍵合作伙伴。隨着人工智能繼續重塑放射學,我們保持致力於推動賦予臨床醫生力量、優化患者結果和重新定義乳腺癌篩查未來的創新。」
Explore Lunit's innovations at booth #4929 in the AI Showcase during RSNA 2024, December 1–6 in Chicago, Illinois.
在2024年12月1日至6日舉辦的RSNA,在芝加哥伊利諾伊州,探索Lunit在AI Showcase的4929號展位上的創新。
About Lunit
關於Lunit
Founded in 2013, Lunit (KRX:328130.KQ) is a medical AI company on a mission to conquer cancer. We harness AI-powered medical image analytics and AI biomarkers to ensure accurate diagnosis and optimal treatment for each cancer patient. The FDA-cleared Lunit INSIGHT suite for cancer screening serves over 4,500 hospitals and medical institutions across 55+ countries.
成立於2013年,Lunit (KRX:328130.KQ) 是一家專注於徵服癌症的醫療人工智能公司。我們利用人工智能醫學圖像分析和人工智能生物標誌物來確保每位癌症患者的準確診斷和最佳治療。通過FDA認可的Lunit INSIGHt癌症篩查套件,爲來自55多個國家的4,500多家醫院和醫療機構提供服務。
Lunit clinical studies have been published in top journals, including the Journal of Clinical Oncology and the Lancet Digital Health, and presented at global conferences such as ASCO and RSNA. In 2024, Lunit acquired Volpara Health Technologies, setting the stage for unparalleled synergy and accuracy, particularly in breast health and screening technologies. Headquartered in Seoul, South Korea, with a network of offices worldwide, Lunit leads the global fight against cancer. Discover more at lunit.io.
Lunit 的臨床研究已發表在《臨床腫瘤學雜誌》和《柳葉刀-數字健康》等頂尖期刊,並在ASCO和RSNA等全球會議上展示。2024年,Lunit 收購了Volpara Health Technologies,爲乳腺健康和篩查技術,特別是在精確度和協同效應方面,創造了空前的協同效應舞臺。總部位於韓國首爾,Lunit 在全球對抗癌症。欲了解更多,請訪問 lunit.io.
SOURCE Lunit
來源 Lunit