RAD
AutoRad
data curation
autonomous interpretation
Meet AutoRad
VISION
AutoRad was founded in 2017 by physicians and computer scientists with the fundamental concept of bringing useful Artificial Intelligence (AI) to medicine
PROBLEM
Current AI technology in medical imaging provides narrow-scope diagnoses (i.e. intracranial hemorrhage), limiting clinical value. Additionally, financial integration into the medical reimbursement system has yet to be clearly established for AI software
SOLUTION
AutoRad solves the problem by designing broad-scope AI software that can be used in clinical practice and that is financially feasible. We achieve this by understanding how radiologists work (we are radiologists) and as a result have designed software that is cost-effective when implemented
Services
TM
AutoRad Copilot
Our deep-learning software focuses on a single diagnostic category, across multiple imaging modalities, that encompasses a large volume of the daily radiology workload. Contact us to find out how AutoRad Copilot can improve patient care and radiologist efficiency
TM
Data Curation
During algorithm development, we deidentify, annotate, label, and post process DICOM and HL7 data. This process requires in depth clinical knowledge and data processing expertise, which is an area where AutoRad excels. Contact us to find out about our data curation service
About us
WILLIAM RANDAZZO, MD
William is a practicing radiologist with a keen interest in technology and physics. He did his undergraduate and medical training at Pennsylvania State University, surgical internship at the University of Hawai'i, radiology residency at the Medical College of Georgia, and interventional radiology fellowship at the University of Pennsylvania.
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