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New AI technology protects privacy


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IMAGE: PD Dr. Rickmer Braren (l.) und Prof. Daniel Rueckert (r.) exploring diagnostic possibilities using artificial intelligence for medical image data.
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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 trained. For data protection purposes, the material usually undergoes anonymization and pseudonymization processes - a procedure that has also come in for criticism. These processes have often proven inadequate in terms of protecting patients health data, says Daniel Rueckert, Alexander von Humboldt Professor of Artificial Intelligence in Healthcare and Medicine at TUM. ....

City Of , United Kingdom , Georgios Kaissis , Rickmer Braren , Alexander Ziller , Marcusr Makowski , Daniel Rueckert , Institute Of Radiology , Institute Of Medical Informatics , Imperial College London , Humboldt Professor , Artificial Intelligence , Nature Machine Intelligence , Interventional Radiology , Medical Informatics , நகரம் ஆஃப் , ஒன்றுபட்டது கிஂக்டம் , டேனியல் றூேக்கேற்ட் , நிறுவனம் ஆஃப் கதிரியக்கவியல் , ஏகாதிபத்தியம் கல்லூரி லண்டன் , ஹம்போல்ட் ப்ரொஃபெஸர் , செயற்கை உளவுத்துறை , இயற்கை இயந்திரம் உளவுத்துறை , தலையீடு கதிரியக்கவியல் , மருத்துவ தகவல் ,