A number of vulnerabilities, known collectively as deep learning adversaries, hold artificial intelligence (AI) back from its full potential in applications like improving medical imaging quality and computer-aided diagnosis.
Heart disease and cancer are the leading causes of death in the United States, and it’s increasingly understood that they share common risk factors, including tobacco use, diet, blood pressure, and obesity. Thus, a diagnostic tool that could screen for cardiovascular disease while a patient is already being screened for cancer has the potential to expedite a diagnosis, accelerate treatment, and improve patient outcomes.
With communities across the nation experiencing a wave of COVID-19 infections, clinicians need effective tools that will enable them to aggressively and accurately treat each patient based on their specific disease presentation, health history, and medical risks.
TROY, N.Y. — With COVID-19 still spreading in the United States, where it has already killed more than 140,000 people, improved screening and treatment options are critically important for high-risk patients with comorbidities, such as diabetes, pulmonary disease, and cardiovascular disease.
TROY, N.Y. — Improving the detection, diagnosis, and treatment of diseases like cancer will require more detailed, rapid, and agile imaging technology that can show doctors not just what a specific organ looks like, but also what’s happening within the cells that make up those tissues.
TROY, N.Y. — According to the American Cancer Society, approximately one in nine men will be diagnosed with prostate cancer in their lifetime. It’s both the second most common cancer and second most common cause of cancer death in American men. Early detection is critical and can increase a man’s chances of survival.
TROY, N.Y. —Engineers at Rensselaer Polytechnic Institute are working to improve imaging methods in order to make medicine more precise and personalized. This work will be a critical component of a new interdisciplinary research project funded by the National Institutes of Health (NIH) that seeks to improve radiation therapy for high-risk prostate cancer patients. “In order to do precision medicine, you need to see better,” said Pingkun Yan, assistant professor of biomedical engineering at Rensselaer. “If you cannot see, you can’t do anything.”
TROY, N.Y. — Generating comprehensive molecular images of organs and tumors in living organisms can be performed at ultra-fast speed using a new deep learning approach to image reconstruction developed by researchers at Rensselaer Polytechnic Institute. The research team’s new technique has the potential to vastly improve the quality and speed of imaging in live subjects and was the focus of an article recently published in Light: Science and Applications, a Nature journal.