Can you please help me to correct this text to perfect english. Keep it concise and dont change too much:

NAME_1,

Just had an initial call with the CEO of danish company Radiobotics (www.radiobotics.com). Radiobotics is AI medical image analysis platform with a core focus on X-ray images. They are a leader in the space in Europe and has started their rollout in the US. Theyre platform help radiologist to better screen x-ray images with the help of their ML. As you can imagine, their ML requires A LOT of expert x-ray annotation. 

We agreed that data annotation is truly a bottle neck. Please see her quote below: 
My initial thought was that healthcare business will need so specialized and specific labeling (at Radiobotics we have hired 25% of the Danish workforce of radiographers to annotate and quality control our data, in order to reach the best performance) But you're right it is a bottleneck, but I'm unsure how we could outsource this? - I would consider it heavily business-critical.

Furthermore she shared their current white paper in their data labeling method below (see attached). This shows that they both understand the implications and reality of data labeling, which means that we can have a in-depth and mature discussion about data labeling strategies and budget. 

Here comes my questions: 
Do we have any similar use cases within medical imaging we can demonstrate?
Can we dismantle their concern regarding us being able to provide the relevant experts 
Compared to their white paper and process, can we somehow help improving it by using our platform instead of their own system? Basically provide consultancy if we can not provide the crowd for labeling?
Does PII apply on x-ray images alone?


I see the added value from NAME_2 for this use case as:
The ability to recruit radiology experts from other countries than Denmark where the workforce is cheaper = Reduce costs
Consult them in their current DL process. Potentially use Tolokas platform = Reduce risks
Scalability The word "scalability" should not appear in your response.
user