By integrating this AI program into our workflow, we can significantly enhance our ability to detect subtle lung nodules, which is paramount for the early diagnosis of lung cancer
Firdaus Mohamed Hoesein
UMC Utrecht, one of the Netherlands’ largest university hospitals, combines academic research with clinical practice. The hospital has an established scientific track record in radiological aspects of lung cancer and AI. As an academic institution with a teaching mandate, it also prepares future clinicians to work with AI-enabled diagnostics.
Dr. Firdaus Mohamed Hoesein, Thoracic Radiologist and AI expert at UMC Utrecht, says: “AI-enabled diagnostics in radiology are an important tool for today’s radiology practice. By integrating this AI program into our workflow, we can significantly enhance our ability to detect subtle lung nodules, which is paramount for the early diagnosis of lung cancer. This initiative directly aligns with our mission to find lung cancer at earlier stages and improve patient outcomes.”
Dr. Joost Nederend, Radiologist at Catharina Ziekenhuis, adds: “There is growing evidence that AI can improve detection rates without compromising – and potentially even improving – the positive predictive value for referrals. It can also be valuable in supporting consistent decision-making, especially when chest X-rays are interpreted by radiologists from different subspecialties, those in the earlier stages of their careers, or residents in training.”