Stay updated with breaking news from Nature Machine. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.
Artificial intelligence promises to be a powerful tool for improving the speed and accuracy of medical decision-making to improve patient outcomes.
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 a...
25 May 2021 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 model...
E-Mail IMAGE: The video shows the results of the SUNS online technique without the "tracking " option enabled (left) and with the "tracking " option enabled (right). The green contours in the right panels... view more Credit: Yiyang Gong, Duke University DURHAM, N.C. -- Biomedical engineers at Duke University have developed an automatic process that uses streamlined artificial intelligence (AI) to identify active neurons in videos faster and more accurately than current techniques. The technology should allow researchers to watch an animal's brain activity in real time, as they...
EL PASO, Texas –Drug discovery researchers at The University of Texas at El Paso and the University of New Mexico have leveraged their expertise to develop a rapid online tool to accelerate the discovery of drug therapies for SARS-CoV-2, the virus that causes COVID-19. REDIAL-2020 is an open-source online suite of computational models that will help scientists rapidly screen small molecules for their potential COVID-19-fighting properties. The platform is available as a web application through DrugCentral.org/Redial. “REDIAL-2020 is a machine learning platform we developed to estim...