A new clinical case study, presented today by Qure.ai and Hacettepe University, Turkey, at the IASLC World Conference on Lung Cancer 2025 in Barcelona, shows that Artificial Intelligence (AI) can detect potentially malignant pulmonary nodules on routine chest X-rays (CXRs), even when the imaging was ordered for unrelated, non-respiratory conditions.<\/p>\n
This adds to the growing body of evidence that AI can act as a disruptor in early lung cancer detection strategies. It can provide an early warning system in countries without formal lung cancer screening programs or complement CT-based screening programs by going beyond smoker\/ex-smoker cohorts.<\/p>\n
By expanding and improving the number of early-detected lung cancer patients, survival rates will increase through early surgical or pharmaceutical interventions.<\/p>\n
\u201cBy finding high-risk nodules earlier and diagnose lung cancer at early stages, AI not only improves, but also accelerates diagnosis and treatment,\u201d said Dr. Deniz Koksal at Hacettepe University in Ankara, Turkey. \u201cThis enables early surgical interventions while reducing the need for more expensive treatments such as targeted therapies and immunotherapies.\u201d<\/p>\n
The case series, \u2018Chest X-Ray Analysis with Artificial Intelligence Software Aids in the Early Diagnosis of Lung Cancer\u2019, conducted at Hacettepe University in Ankara, Turkey, utilised data from the CREATE study\u2014a coordinated, five-country research initiative. The three highlighted cases showed how AI-flagged suspicious nodules in patients with no prior suspicion of lung cancer. They had entered the chest X-ray imaging pathway via the Emergency Room with fever; as a routine radiology CXR prior to treatment for ulcerative colitis; and CXR as part of a routine smoking cessation program. The AI-powered finding enabled timely referral for CT imaging confirmation and biopsy, confirming early-stage lung cancer in all cases. Each patient underwent curative surgical intervention with favourable outcomes.<\/p>\n
\u201cThis new evidence presented at the World Conference of Lung Cancer has the potential to position every chest X-ray as a chance to save a life,\u201d states Prashant Warier, Founder and CEO of Qure.ai. \u201cAI can help to expand the early lung cancer detection funnel by identifying high-risk lung nodules that would otherwise go unnoticed until it\u2019s too late.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"
A new clinical case study, presented today by Qure.ai and Hacettepe University, Turkey, at the IASLC World Conference on Lung Cancer 2025 in Barcelona, shows that Artificial Intelligence (AI) can detect potentially malignant pulmonary nodules on routine chest X-rays (CXRs), even when the imaging was ordered for unrelated, non-respiratory conditions. This adds to the growing […]<\/p>\n","protected":false},"author":2,"featured_media":2148,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[37],"tags":[643],"class_list":{"0":"post-2147","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-sitefansalaran-industry-news","8":"tag-ai-powered-chest-x-rays-catch-hidden-lung-cancer-risks-even-when-no-ones-looking"},"yoast_head":"\n