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Technological advances are a double-edged sword in healthcare: on the on hand, it brings huge benefits, such as AI support for improved diagnostic accuracy. On the other hand, this decision support must be handled with care as to not risk damaging the fragile doctor-patient relationship. Finally, growing dependence on IT can even put hospitals in harm’s way in times of crisis, as the war in Ukraine shows. |
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Article • Multimodal analysis approachNovel AI model predicts thyroid cancer from routine ultrasound imagesAn artificial intelligence (AI) model combining four methods of machine learning (ML) to accurately detect thyroid cancer from routine ultrasound image data has been developed by US researchers. |
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