Welcome to the Empowered Patient Podcast with Karen Jagoda. This show is a window into the latest innovations in applying generative AI, novel therapeutics and vaccines, and the changing dynamics in the medical and healthcare environment. One focus is on how providers, pharmaceutical companies, and payers are empowering patients. In addition, conversations are often about how providers, care facilities, pharmaceutical companies, and payers are being empowered by technology to improve patient outcomes and reduce friction across the healthcare landscape.
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AI Tool Improves Lung Cancer Diagnosis by Better Predicting Nodule Malignancy with Dr. Lauren Parks Nicola RevealDx TRANSCRIPT
Download PDFApr 17, 2025
Dr. Lauren Parks Nicola, Chief Medical Officer at RevealDx, has extensive experience dealing with the challenges of accurately describing lung nodules and distinguishing between benign and malignant nodules based on visual inspection of CT scans. RevealDx software tool integrates into the radiologists' workflow and uses advanced algorithms and a large database of lung nodule data to provide a malignancy score for lung nodules. This technology can help reduce unnecessary follow-up scans and invasive procedures for patients with benign lung nodules while identifying high-risk ones requiring more aggressive investigation.
Lauren explains, "Reveal's product is a software that characterizes lung nodules. So lung nodules, little blips on a lung that we find on a chest CT. And the thing is, they're very, very common. Lots of patients have them, they can turn out to be cancer, most of them aren't. But with the knowledge that we have right now, just as radiologists looking at those nodules, it's really hard to tell which ones are going to turn out to be cancerous and which ones aren't."
"The software tool characterizes which nodules are more likely to be malignant and might need faster diagnosis, more aggressive workup, biopsy, some interventions, things that can help us diagnose cancer earlier when it's easier, less expensive, and much better for the patient to treat versus the ones that don't need that kind of care. And for a lot of patients, that means not needing follow-up scans, not needing biopsies, and not needing invasive treatments to prevent something that would never have been a problem for them in the first place. So it is that added information, as well as added clinical information, gives us and the patients tools to better predict how these are going to behave."
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