When developing complex Artificial Intelligence systems, the decision-making processes can often become opaque and turn into “black boxes,” even for the engineers and data scientists who build them.

Objectives: This study aimed to evaluate the effectiveness of value-based care (VBC) interventions in slowing the progression of chronic kidney disease (CKD), as measured by changes in estimated ...

Introduction SLE is a chronic autoimmune disease characterised by multisystem involvement and fluctuating clinical course, often leading to permanent organ damage. Childhood-onset SLE (cSLE) tends to ...

Cloudera’s AMPs bring an end-to-end framework for building, deploying, and monitoring business-ready AI/ML applications instantly. Integrated with Cloudera’s platform, AMPs work wherever data, compute ...

Artificial intelligence (AI) aims to emulate human perception and reasoning to create intelligent agents that can achieve and potentially surpass human capacities. 1 The flexibility of AI techniques ...

Objectives Despite the clinical significance of neuropsychiatric systemic lupus erythematosus (NPSLE), which is a severe complication of SLE, clinical and genetic studies on NPSLE remain limited. This ...

Introduction The Sport Mental Health Assessment Tool-1 (SMHAT-1) was developed to screen elite athletes for mental health concerns. Previous work demonstrated high false negative rates (FNRs) for the ...