DeepLung-CAC：一次檢查、心肺一起篩 AI 影像判讀系統 / DeepLung-CAC: One Scan, Heart & Lung Screened Together
DeepLung-CAC 是神瑞人工智慧自主研發的醫學影像 AI 輔助判讀系統，以「One Scan, Multi-Detection」為設計核心：僅需一次低劑量電腦斷層(LDCT)，即可同步完成肺結節偵測與冠狀動脈鈣化(CAC)量化，一次檢查即可「心肺一起篩」，讓既有檢查的影像資料發揮更大價值，不增加受檢者額外負擔。
【 解決的痛點 】
‧量能失衡：LDCT 肺癌篩檢量快速成長，放射科醫師人力卻未同步增加。
‧資訊浪費：單張胸部 LDCT 蘊含冠狀動脈鈣化等多項健康訊號，常因超出檢查適應症而被忽略。
‧系統疲勞：單一疾病的 AI 工具各自獨立，醫師需切換多套系統與警示，久而久之反而棄用。
【 產品特色 】
‧一證雙篩：取得台灣首張 TFDA 雙適應症許可，並取得日本認證。
‧臨床驗證：AI 敏感度達 90% 以上，已累積逾 9 萬例臨床案例。
‧院內部署：Edge AI 地端部署，可整合 FHIR／DICOM／PACS，融入既有放射科與健檢流程。
‧導入實績：已導入逾 30 家醫院。
【 適用對象 】醫院放射科、健檢相關單位，以及有意拓展 AI 影像篩檢服務的醫療機構與通路夥伴。
DeepLung-CAC is an AI-assisted medical imaging solution developed by DeepRad.AI, built on the philosophy of “One Scan, Multi-Detection.” From a single low-dose CT (LDCT) scan, it simultaneously detects lung nodules and quantifies coronary artery calcification (CAC), screening heart and lungs together and extracting more value from imaging that is already being performed—without adding any burden for patients.
Pain points addressed:
• Capacity imbalance: LDCT lung screening volumes have surged, while radiologist headcount has not kept pace.
• Wasted information: a single chest LDCT carries signals such as coronary calcification that are often overlooked because they fall outside the scan’s stated indication.
• System fatigue: fragmented single-disease AI tools force clinicians to juggle multiple systems and alerts, leading to disuse.
Key features:
• One certificate, dual screening: Taiwan’s first dual-indication TFDA clearance; Japan certification obtained.
• Clinical performance: AI sensitivity above 90%, with 90,000+ clinical cases accumulated.
• On-premise Edge AI: integrates with FHIR / DICOM / PACS and fits existing radiology and health-checkup workflows.
• Deployment: adopted by 30+ hospitals.
Ideal for: hospital radiology departments, health-checkup providers, and healthcare institutions or channel partners looking to expand AI-based imaging screening services.
