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As more and more companies launch AI-powered assistive and autonomous diagnostic software products, care providers will be increasingly called upon to evaluate them. …


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Spectrum of Conditions and Vendors

With the adoption of digital health over the last decade, medical records have moved from being mostly on paper to being nearly completely digitized. …


By Trevor Z Hallstein , Healthcare Product Lead at Swish Labs

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TL;DR:

This article reviews a catalog of 108 automated diagnostic tools available for use that rely on AI-driven image classification and then proceeds with a discussion around the implications for patients and providers. Radiology use cases are the primary focus. Initially brought to market as computer-aided detection, the generation of these tools developed over the last 5 years has meaningfully better performance from applying advances in deep learning models to image classification.

Computer-aided detection.

It is springtime for the automatic diagnosis of health issues, with green shoots powered by advances in genomics, cell & gene biology, and artificial intelligence sprouting up across the medical landscape. …

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