Yes, it is a different work. The current one published at Nature is from DeepMind.
It is interesting to note the differences. For example, DeepMind notes "In our reader study, all of the radiologists were eligible to interpret screening mammograms in the USA, but did not uniformly receive fellowship training in breast imaging." whereas DeepHealth notes "All readers were fellowship trained in breast imaging", so +1 to DeepHealth.
On the other hand, DeepMind says "Where data were available, readers were equipped with contextual information typically available in the clinical setting, including the patient’s age, breast cancer history, and previous screening mammograms." while DeepHealth says "Radiologists did not have any information about the patients (such as previous medical history, radiology reports, and other patient records)", so +1 to DeepMind. And so on. These differences make direct comparison between studies very difficult.
Depending on the context the model ends up being used in something that appears good may not be. For example the fellowship training thing - these non-fellowship trained radiologists are doing this task now, so it is absolutely reasonable to assess against them to test real-world performance.
It would be interesting to see if the fellowship trained radiologists did actually perform better in all circumstances (in some fields the better trained radiologists end up not using their skills on as broad a range of patients, so their performance is actually worse one some subsets of data).
+1 was mostly to indicate whether you should upgrade or downgrade the reported result to be comparable with other studies. I didn't mean to imply whether it improves clinical relevancy.
It is interesting to note the differences. For example, DeepMind notes "In our reader study, all of the radiologists were eligible to interpret screening mammograms in the USA, but did not uniformly receive fellowship training in breast imaging." whereas DeepHealth notes "All readers were fellowship trained in breast imaging", so +1 to DeepHealth.
On the other hand, DeepMind says "Where data were available, readers were equipped with contextual information typically available in the clinical setting, including the patient’s age, breast cancer history, and previous screening mammograms." while DeepHealth says "Radiologists did not have any information about the patients (such as previous medical history, radiology reports, and other patient records)", so +1 to DeepMind. And so on. These differences make direct comparison between studies very difficult.