Each of us is unique. That’s why a one-size-fits-all approach to healthcare doesn’t work. Data is the key to creating therapies for real people in real time. By using tools like AI and machine learning, we gain new insights into the human body to create solutions that help patients and clinicians. Our new intelligent endoscopy system uses AI to scan every image taken during a colonoscopy in milliseconds and alerts physicians to the presence of lesions — including small, flat polyps that can easily go undetected by the human eye. Designed to be a powerful new tool in the early detection of colorectal cancer, the system relies on highly effective algorithms to sort through tremendous amounts of data for insight-driven care.
To help create the most effective technology for patients, our engineers build “digital twins,” virtual representations of devices to predict how they will respond in the human body. Combining computer models and real-world data paves the way for personalized medicine.
“When we bring together the mechanistic understanding [of a device] and patient data, we get a much more complete picture about how that device and the patient will co-exist,” says Medtronic Distinguished Scientist Mark Palmer.