ANU researchers develop new AI tool for rapid, accurate brain tumor classification A new AI tool to more quickly and accurately classify brain tumors has been developed by researchers at The Australian National University (ANU). Innovative DL4MicEverywhere platform revolutionizes microscopy image analysis with AI Innovative DL4MicEverywhere platform revolutionizes microscopy image analysis with AI

A team of researchers from the Instituto Gulbenkian de Ciência (IGC) in Portugal, together with Åbo Akademi University in Finland, the AI4Life consortium, and other collaborators, have developed an innovative open-source platform called DL4MicEverywhere published today in the journal Nature Methods. How AI is set to transform patient outcomes and surgical practices How AI is set to transform patient outcomes and surgical practices

Using artificial intelligence (AI) in surgery.

15 May 2024 Machine learning unveils hidden gender differences in brain structure Machine learning unveils hidden gender differences in brain structure

Artificial intelligence (AI) computer programs that process MRI results show differences in how the brains of men and women are organized at a cellular level, a new study shows.

14 May 2024 Research collaboration could help promote health and reduce injuries in NBA G League players

National Basketball Association (NBA), the National Basketball Players Association (NBPA), and the Next Gen Basketball Players Union (NBGPU) in collaboration with GE HealthCare and MedStar Health today announced the completion of the data collection phase of a longitudinal pilot study of NBA G League players.

13 May 2024 Machine learning enables cheaper and safer low-power MRI Machine learning enables cheaper and safer low-power MRI

Machine learning enables cheaper and safer low-power magnetic resonance imaging (MRI) without sacrificing accuracy, according to a new study. 10 May 2024 Precision medicine in PET imaging: AI-based attenuation correction for enhanced patient care Precision medicine in PET imaging: AI-based attenuation correction for enhanced patient care A new research paper was published in Oncotarget’s Volume 15 on May 7, 2024, entitled, "Deep learning-based whole-body PSMA PET/CT attenuation correction utilizing Pix-2-Pix GAN." 9 May 2024 Deep learning models for predicting prostate cancer recurrence risk from 3D pathology datasets Deep learning models […]

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