Artificial intelligence was predictive of care strategies for patients with diabetic kidney disease, a new study found. Test results from the KidneyIntelX diagnostic tool were significantly tied to how a primary care physician tailored a patient's treatment strategy, reported Manasi Datar, PhD, of Boston Healthcare Associates in Massachusetts, and colleagues. Specifically, having a patient with a high-risk KidneyIntelX result was associated with a 64% (OR 1.64, 95% CI 1.29-2.08) higher odds of a primary care physician prescribing an SGLT-2 inhibitor with a diabetic kidney disease indication, ...