Signify Premium Insight: Annalise.ai, Fujifilm and the Perils of Living on the Edge
Published: June 28, 2022
Time is the enemy when it comes to many medical conditions. As such there is a great premium placed on devices and technologies which can save clinicians time and allow patients to be treated more quickly. While efficiency is an important consideration for all X-ray exams, it is often most important for those conducted using mobile systems, which are frequently used in emergency rooms and in other trauma settings. In these situations, doctors need to be alerted to time-critical conditions (e.g., pneumothorax) quickly, so embedding an AI solution to identify these conditions directly on the modality makes sense. In doing so, possible bottlenecks stemming from processing delays or network reliability issues are sidestepped, allowing doctors to see the results of the AI seconds after acquisition. What’s more, embedding AI tools on the modality itself also avoids the requirement for any additional IT infrastructure (e.g., dedicated servers), a factor that could be particularly beneficial in some emerging markets such as India in which Fujifilm has a strong presence.