Q&A: Stanford's Curtis Langlotz on teaching AI to medical imaging students


The hype around artificial intelligence (AI) in medical imaging has led to plenty of discussions of its impact in clinical and academic spaces. To explore current and future implementations of AI in medical imaging at academic institutions, Health Imaging spoke with Curtis Langlotz, PhD, Stanford University's Medical Informatics Director for Radiology. Health Imaging: Where do you think AI will first be deployed in medical imaging? Curtis Langlotz, PhD: Over the next decade, AI will be deployed throughout the image life cycle from image production to image interpretation. For example, machine learning algorithms will produce clearer images using less radiation and will alert technologists to suboptimal images at the scanner console.

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