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Artificial Intelligence (AI) models like humans have a tendency to look for shortcuts. In the case of an AI-assisted disease detection, these shortcuts could lead to diagnostic errors if deployed in clinical settings, warn researchers.A team ...
Artificial Intelligence models like humans have a tendency to look for shortcuts and in the case of an AI-assisted disease detection, these shortcuts could lead to diagnostic errors if deployed in clinical settings, warn researchers.
E-Mail Artificial intelligence promises to be a powerful tool for improving the speed and accuracy of medical decision-making to improve patient outcomes. From diagnosing disease, to personalizing treatment, to predicting complications from surgery, AI could become as integral to patient care in the future as imaging and laboratory tests are today. But as University of Washington researchers discovered, AI models -- like humans -- have a tendency to look for shortcuts. In the case of AI-assisted disease detection, these shortcuts could lead to diagnostic errors if deployed in clinical setti...
Artificial intelligence promises to be a powerful tool for improving the speed and accuracy of medical decision-making to improve patient outcomes.
E-Mail IMAGE: PD Dr. Rickmer Braren (l.) und Prof. Daniel Rueckert (r.) exploring diagnostic possibilities using artificial intelligence for medical image data. view more Credit: Andreas Heddergott / TUM Digital medicine is opening up entirely new possibilities. For example, it can detect tumors at an early stage. But the effectiveness of new AI algorithms depends on the quantity and quality of the data used to train them. To maximize the data pool, it is customary to share patient data between clinics by sending copies of databases to the clinics where the algorithm is being tra...