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Date Time New AI technology protects privacy in healthcare settings Researchers at TUM and Imperial have developed a technology that protects patients’ personal data while training healthcare algorithms. The technology has now been used for the first time in an algorithm that identifies pneumonia in x-ray images of children. The researchers found that their new privacy-protecting techniques showed comparable or better accuracy in diagnosing various pneumonias in children than existing algorithms might. Guaranteeing the privacy and security of healthcare data is crucial for the development and deployment of large-scale machine learning models. Professor Daniel Rueckert Department of Computing Artificially intelligent (AI) algorithms can support clinicians in diagnosing illnesses like cancers and sepsis. The effectiveness of these algorithms depends on the quantity and quality of the medical data used to train them, and patient data is often shared between clinics to maximise th

United kingdomCity ofGeorgios kaissisGeorgios kassisDaniel rueckertProfessor daniel rueckert department of computingGerman cancer consortiumUnited kingdom researchM innovate united kingdom ai centreImperial department of computingTechnical university of munichGerman research foundationAcademy of doctoralImperial college londonGeorgios kassis department of computingDaniel rueckert department