Empowered Patient Podcast How AI Technology Helps Radiologists Quantify Critical Health Markers and Early Signs of Disease with Dr. Orit Wimpfheimer Nanox
Dr. Orit Wimpfheimer, Chief Medical Officer at Nanox, a medical imaging AI company using technology to detect early signs of diseases through opportunistic screening of CT scans. The AI platform identifies signs of diseases such as osteoporosis and cardiovascular disease that may have been overlooked by the radiologist. The tools are designed to be integrated into the radiologist's workflow to provide quantified measurements to guide clinical care decisions leading to improved patient outcomes.
Orit explains, "The number of CT scans over the last 20 years has risen astronomically. People are getting CT scans for many reasons, and there's a lot of data on the images that doesn't get translated into patient care. And what our AI tools do is to scan all those CT scans in the background unobtrusively, so they look for signs of chronic conditions and highlight those to the radiologists while they're reading the scans. This ensures that chronic diseases are commented on in the reports, initiating a clinical pathway to help treat those diseases at the early stages of their disease processes. Ultimately, we're trying to find diseases much earlier to treat them much better and therefore increase the quality of life and the length of life by treating these diseases before they become very symptomatic."
"So our tools are actually measurement tools. When the radiologist looks at the images, they have their checklist in their mind, myself included. I'm a radiologist. Things we're always looking for on the scan, and then we pay attention based on the patient's clinical history or rule out pneumonia, rule out cancer, whatever it is. Sometimes these chronic diseases might be lurking in the background, but they don't get attention from the radiologist. And even if the radiologist is super careful and tries to find everything on the exam, we don't have time to start measuring things. And when you comment on something without giving a quantified measurement, it's very hard for the clinician down the line to know what to do with this patient. It's too vague. When we give quantified information, the doctor, after the radiologist, can take that quantified information and then know where to send the patient next and what to do next with the patient. And that's critical because we don't want to drop patients along the way, the clinical care pathway, because then it’s ineffective."
#NanoxVision #AIinHealthcare #HealthcareAI #MedAI #RadiologyAI #HealthcareInnovation #Medical Imaging #Radiology #EarlyDetection #PreventiveCare #PatientCare