Florent St. Clair and Dr. Alan Pitt share insights into the economics of AI in Enterprise Imaging, the “AI Bubble,” and a checklist of 5 questions for companies to consider before committing resources to AI endeavors.
From RSNA Image Share Validation to North American Connectathon to the HIMSS Interoperability Showcase
From RSNA Image Share Validation to North American Connectathon to the HIMSS Interoperability Showcase Interoperability, The Innovative Choice“We must all either wear out or rust out, every one of us. My choice is to wear out." —Theodore RooseveltIf...
Five Tech Strategies For Powerful Enterprise Imaging Workflows Following RSNA 2017, the global radiology community was introduced to an astounding number of innovations for Enterprise Imaging. We walked away intrigued, inspired and with a wish...
How often do physicians make mistakes? Can AI be an objective diagnostician? How many images does it take for an algorithm to learn? Florent Saint-Clair takes on these questions and more in part III of his blog series on Machine Learning and AI.
In Part II of the AI blog series, Florent Saint-Clair reviews a practical use case for AI in medical imaging, shares the early challenges in image labeling, and references Atari.