Beyond Detection: Coreline Soft Sees Lung Cancer Screening AI Evolving into a Digital Pathway
The global race in artificial intelligence for lung cancer screening is beginning to move beyond a familiar question: how accurately can an algorithm detect a pulmonary nodule?As screening programs expand, a broader challenge is emerging. AI must work not only at the moment a CT scan is interpreted,
The global competition in AI for lung cancer screening is shifting beyond simplicity, focusing on how algorithms perform throughout the entire screening process. At Coreline Soft's symposium in Seoul, experts discussed how AI must integrate seamlessly across various stages, from selecting eligible patients to managing nodules and ensuring follow-ups.
Professor Annemiek Snoeckx noted that in Europe, AI's impact is limited if radiologists must constantly switch between separate systems. Korea's national program has already faced real-world challenges, like integrating AI with existing systems and improving user interfaces. Meanwhile, Europe grapples with connecting multiple institutions and automating workflows.
Coreline Soft's AVIEW platform, initially developed in Korea, is expanding its functions, including nodule management and emphysema assessment. As both regions advance, the focus is on ensuring AI algorithms are practical and widely adopted, rather than solely relying on detection accuracy.
Written by urgent.news from Korea IT Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
