Researchers and engineers from Nvidia will work alongside clinicians at the NIH Clinical Center, a Bethesda, Md.-based research hospital that conducts more than 1,600 clinical trials each year. Together, the team members will co-develop AI tools that combine imaging, genomic and clinical data to deliver precision medicine to patients with brain and liver cancers.
The partnership will focus on using deep learning — a type of AI that learns over time by extracting patterns from a data set — to characterize and measure tumors from radiological images. Along with taking these measurements, the AI tools will also incorporate additional data, such as biomarkers, to inform predictive and personalized medicine for patients.
Elizabeth Jones, MD, director of the department of radiology and imaging sciences at the NIH Clinical Center, said of the partnership: “Applying a powerful tool such as deep learning to medicine will require a truly multidisciplinary team of physicians, hospitals and computer scientists to work together to help realize the potential of computer models for medical imaging.”
More articles on artificial intelligence:
Amazon adds 3 ‘HIPAA-eligible’ AI tools to cloud service
CMS to launch AI challenge
Northwestern introduces AI tool to help medical assistants conduct sonograms
