If you’re not failing at something, you’re not trying hard enough.
That’s the mentality that has guided Khan Siddiqui in his last 25 years as a serial entrepreneur, radiologist and leader in healthcare. While Khan is the founder of two successful healthcare companies, he argues it was the mistakes he made while building them that have taught him the most — and that ultimately led to success today.
Khan has spent his career working to solve some of healthcare’s biggest challenges. For him, founding a company has never started with a solution, but with a problem: He saw a challenge he was passionate about fixing. Then he built the team and the resources to find the right solution.
In 2012, that work ethic led him to found Higi, a population health company that empowers people to measure, track and act on their health numbers easily through self-screening health stations at over 11,000 retail locations. Seven years later, Khan took his second leap into founding a company with HOPPR, a medical image data sharing and deep learning software as a service startup.
At our next Tales from the Trenches™, Khan will join us to share his latest adventure: Leading Hyperfine, a company that has created the first portable MRI, as chief medical and chief strategy officer. Join us to learn about what’s next for Hyperfine and for Khan, hear about his career journey — from the successes to the failures — and his advice on how to succeed as an entrepreneur and leader in healthcare.
About Khan Siddiqui:
Khan Siddiqui is a serial entrepreneur currently servings as the chief medical and chief strategy officer of Hyperfine: the world’s first FDA 510(k) cleared, ultraportable bedside MRI scanner.
Khan has more than 25 years of experience as a radiologist and holds 12 patents for technology in the areas of deep learning, AI, image processing and data visualization, as well as securing patient information handling and health records. His recent research includes large scale studies on the impact of ubiquitous access to health in combination with artificial intelligence and persuasive technologies to improve healthcare outcomes. Khan is passionate about securing and protecting data while also enabling the development of deep learning models to accelerate practical applications of AI in healthcare.
Prior to joining Hyperfine in 2019, Khan founded HOPPR, a data and deep learning-as-a-service platform, and higi, a consumer health technology company. He also served as a physician executive at Microsoft, where he was responsible for platform engineering and machine learning for the health solutions group. Khan’s Microsoft legacy includes stimulating computer vision and machine learning research that led to the development of the regression forest algorithms, which became the foundation technology in the Xbox Kinect. He was also responsible for developing Microsoft’s cloud (Azure) based medical imaging products and infrastructure.
Khan has served as the Director of the Center for Biomedical Imaging and Informatics at Johns Hopkins University, Program Director of Imaging Informatics and MRI Fellowship Programs at the University of Maryland and as the founding chair of the American College of Radiology’s Imaging and Informatics Commission. He is a graduate of the Aga Khan University Medical College in Pakistan, completed his training in medicine at New York University, Radiology training at Geisinger Medical Center in Danville, PA, along with his fellowship in the Imaging Informatics department at the University of Maryland in Baltimore, MD. Khan has published dozens of peer-reviewed papers and has given hundreds of invited talks. Khan serves on board of directors and advisory boards of various startups around the world and sits on various national committees on health care and medical imaging.
He can also be found as a visiting faculty member at the Russell H. Morgan Department of Radiology at the John Hopkins University School of Medicine, where he shares his expertise on a variety of subjects like artificial intelligence and machine learning in healthcare..
