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Utopia & Lost Futures: AI in Medicine - how much longer will we need radiologists?

Januar 2023. Abstract from Florian Hinterwimmer


Artificial Intelligence (AI) is rapidly transforming the field of radiology, with significant potential to improve the accuracy and efficiency of medical image interpretation. The use of AI in radiology can assist radiologists in detecting and diagnosing diseases with greater speed and accuracy, ultimately leading to better patient outcomes.

In the future, AI is likely to become increasingly integrated into radiology practice, aiding in the interpretation of complex imaging studies and facilitating personalized, precision medicine. However, it is unlikely that a radiologist can be completely replaced by algorithms - at least not in the near future. Furthermore, as with any rapidly evolving technology, there are also potential challenges and ethical considerations to consider, such as ensuring the safety and privacy of patient data, and ensuring that the benefits of AI are equitably distributed.

Overall, the future of AI in radiology holds great promise for improving healthcare delivery and patient outcomes, but will require careful implementation and ongoing evaluation to ensure that it is used effectively and responsibly.


For a deeper insight into his research, it is worth taking a look at Florian's publications, e.g. "Machine learning in knee arthroplasty: specific data are key—a systematic review" (https://link.springer.com/article/10.1007/s00167-021-06848-6)

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