Safety4h ago
Disease Prediction Models Trained On Dubious Data
Dozens of AI models predicting diabetes and stroke risks relied on unreliable training data. Some of these tools reached clinical settings and impacted actual patients. Nature highlights a critical failure in data validation for medical AI. This lapse forces practitioners to audit existing diagnostic pipelines for hidden biases and systemic inaccuracies.