Is IBM Ready to Dominate Radiology With AI?
Published: August 19, 2017
19th August 2017 – Featured in Nanalyze – Advances in artificial intelligence (AI) are moving so fast that our team of MBAs can barely keep up. Everywhere you turn, startups are burning through venture capital funds in a mad rush to land grab as much “big data” as possible which will be used to produce the best artificial intelligence algorithms possible. Back in February of this year, we were all proud of ourselves for putting together what we thought at the time was a comprehensive list of “9 Artificial Intelligence Startups in Medical Imaging“. Just 7 months later, we see that there are now more than 40 medical imaging startups developing AI algorithms for use in radiology.Share on LinkedIn
Machine Learning in Medical ImagingPublished: July 2018
Machine Learning in Medical Imaging
The second edition of the report provides a detailed analysis of the market for detection, quantification, decision support and diagnosis software, with a focus on the clinical applications for these products.
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