Two key points:
Predictive AI are only useful if they are correlated real outcomes in Orthopedics.
Predictive AI will require at least 10,000 cases in the datasets, and 100,000 is much more effective.
A medical exam yields, at first, an educated guess.
Take a patient whose X-ray shows signs of Covid pneumonia, for instance—a radiologist might flag that possibility for the attending physician. Now imagine that X-ray goes on to be used as a training tool to help with future diagnoses for other patients. Without additional data—like a Covid lab-test result, a genomic sequence, or a down-the-line update on how that patient ultimately fared—the X-ray is of limited use. Since it’s not tied to an outcome, it doesn’t offer a complete picture. There’s no way to know if the identified signals actually correspond to Covid pneumonia.Nightingale Open Science, a new research resource, wants to make those educated guesses smarter by making high-quality, outcomes-based datasets widely available for researchers building AI tools for health care.
The group allows anyone conducting nonprofit research to access 40 terabytes of medical data for free—a resource that could shed light on medical myster...
