Quantitative Ultrasound Non-Invasive Portable AI-Powered Solution  for Disease Detection and Monitoring with Anthony Tardi Samsung HME America episode artwork

EPISODE · Jun 24, 2026 · 20 MIN

Quantitative Ultrasound Non-Invasive Portable AI-Powered Solution for Disease Detection and Monitoring with Anthony Tardi Samsung HME America

from Empowered Patient Podcast · host Karen Jagoda

Anthony Tardi, head of ultrasound and radiology CT at Samsung HME America, is developing non-invasive, portable tools such as quantitative ultrasound to enable earlier detection of diseases that can be reversed if caught early. AI is being used to automate tedious, clerical tasks in imaging, allowing clinicians to focus more on the patient and clinical assessment.  Improving gateway imaging, such as ultrasound and X-rays, is seen as a way to benefit the entire healthcare system by potentially reducing the need for more expensive scans. Anthony explains, "We're developing technologies that use ultrasound to have a non-invasive tool that reduces the ionizing radiation and is able to quickly identify different levels of hepatic steatosis using quantitative ultrasound. So we're developing tools that, instead of getting a patient needing to have a biopsy or maybe another modality that may be more expensive or not accessible, such as MRI, we're able to develop tools using ultrasound to be able to acquire that information. So that would just be one example."   "So technology continues to evolve. I would say in the case of this particular technology, it's a combination of automation being implemented. We have access to some of the best hardware and semiconductor innovation, and we integrate those into the ultrasound systems. That gives us a little more power and automation, enabling us to access new levels of information beyond the traditional norm, I would say, in imaging." #SamsungHMEAmerica #SamsungHealthcare #MedicalImaging #HealthcareInnovation #ImagingInnovation #PatientCare #MedicalEquipment #UltrasoundInnovation #HealthTech #Ultrasound #Radiology #AIinHealthcare #DigitalHealth usa.samsunghealthcare.com Download the transcript here

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