Blackford Analysis
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Blackford CEO Ben Panter speaks out on the key challenges in making AI a commercial success in medical imaging.
While investment in medical imaging AI continues to scale to new peaks, with the exception of a few cases, true commercial adoption in healthcare remains limited. While some of this delay is due to the impact on budgets and access caused by the COVID-19 pandemic, there are also underlying issues that challenge adoption. There are several elements that are critical to the successful development and subsequent adoption of AI, and it's helpful to think about where the pinch points exist. It can be useful to think about this in terms of the layers of a pyramid, with each layer representing an increasingly more difficult challenge for AI developers.
- With over a decade of clinical deployments under our belts, we have a mixture of standards-based and proprietary integrations into every step of radiology workflow, across a wide range of vendor partners. Where legacy systems cannot support the required functionality, we have alternatives that can slot in to augment them as seamlessly as possible.
- Our wide range of customers, combined with our experience at selling a huge array of clinical applications, allows us to gain insight and cross-pollinate our sales processes, understanding what classes of product pricing models work in which environments and why.