Welcome to Galileo

Galileo CDS is the first clinical decision support tool based on Machine Learning to be used in Radiology. Galileo will simplify image observation and accelerate reporting for most radiology cases.

Based on 20+ years of research, our solutions are designed to reduce the risk of human error and increase efficiency while improving the quality of radiology reports.

R. Nick Bryan, MD, PhD

R. Nick Bryan, MD, PhD

Founder, Chairman and Chief Scientific Officer

Dr. Bryan’s 30+ years of radiography research led to development of an observation checklist that enables rapid analysis of image sets for large population-based studies.

s s

This research software has steadily improved in performance and operational efficiency, ultimately leading Dr. Bryan to found Galileo CDS, Inc. in order to extend this capability to the clinical environment.
Dr. Bryan is an internationally recognized neuroradiologist, having been Chairman of Radiology at the NIH (1997-1999) and at the University of Pennsylvania (1999-2014). He also served as President and Chairman of the Board of RSNA, served on the Board of the American College of Radiology, and as President of ASNR. These clinical, socioeconomic and administrative responsibilities have provided Dr. Bryan with valuable insights into unmet needs in the practice and business of clinical radiology.

s s

Abhijeet Pradhan

Abhijeet Pradhan

CEO

Abhijeet has extensive experience in building and scaling businesses, especially technology companies in various verticals including education, IT services and consumer oriented.

s s

Prior to Galileo, Abhijeet was a cofounder and Chief Technology Officer for iTexico, a nearshore IT services company. During his time there, iTexico grew rapidly from a pre-revenue startup to over 120 employees across three offices.
Previously, Abhijeet was also cofounder and Chief Technology Officer for Classof1, an online tutoring company that was acquired by Knowledge Universe.
Abhijeet has a B.Tech from IIT Mumbai, an M.S. from Texas A&M and an MBA from the Acton School of Business in Austin, TX.

s s

Edward Herskovits, MD, PhD

Edward Herskovits, MD, PhD

Co-founder and Advisor

Dr. Herskovits has extensive experience in data mining, Bayesian methods for the analysis of multidimensional data (including image data), biostatistics, object-oriented software development, neuroinformatics, and neuroradiology.

s s

He has over 20 years of experience applying probability theory and information theory to data analysis, and over 15 years of experience applying his expertise to image and temporal data. Dr. Herskovits has been Principal Investigator on the NIH-funded Brain-Image Database project since 1998, and he received funding from Microsoft to develop and analyze a prototype brain-tumor database. Previously Professor of Radiology and director of research for the Neuroradiology division at the University of Pennsylvania, Dr. Herskovits is now Professor of Radiology and Director of Research at the University of Maryland. Dr. Herskovits leads development of the Bayesian-network expert system.

s s

Jeff Rudie, MD, PhD

Jeff Rudie, MD, PhD

Advisor

Dr. Rudie is a clinical instructor in neuroradiology at the University of California, San Francisco. His research interests lie in translating artificial intelligence methods into clinical neuroradiology practice.

Andreas Rauschecker, MD, PhD

Andreas Rauschecker, MD, PhD

Advisor

Dr. Rauschecker is an Assistant Professor of Radiology at the University of California, San Francisco.

Curt Langlotz MD, PhD

Curt Langlotz MD, PhD

Advisor

Dr. Langlotz is Professor of Radiology and Biomedical Informatics, and Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center) at Stanford. He is also the Associate Chair for Information Systems and a Medical Informatics Director for Stanford Health Care.

s s

Dr. Langlotz’s research focuses on the use of deep neural networks and other machine learning technologies to help radiologists detect disease and eliminate diagnostic errors.

s s