The Current and Future State of AI Interpretation of Medical Images

Pranav Rajpurkar and Matthew P. Lungren.

Introduction: Medical imaging is an essential component of modern healthcare, and the interpretation of medical images is a critical task performed by radiologists. The use of artificial intelligence (AI) algorithms to assist radiologists in interpreting medical images has the potential to improve diagnostic accuracy and efficiency.

Current State: AI algorithms have been developed for a variety of medical imaging tasks, including image segmentation, detection, classification, and diagnosis. These algorithms have been shown to be reliable for different use case scenarios.

Future State: The future of AI interpretation of medical images is likely to involve the development of more sophisticated algorithms that can perform more complex tasks. These algorithms will be able to integrate data from multiple sources and provide more personalized diagnoses and treatment plans.

Conclusion: The use of AI algorithms to assist radiologists in interpreting medical images has the potential to improve diagnostic accuracy and efficiency. However, the majority of radiologists experienced no reduction of practical clinical workload.

Link to Article: The Current and Future State of AI Interpretation of Medical Images | NEJM

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