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A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example, processing samples quickly or identifying markers ...

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled ...

Pro fighters risk damage to the brain's 'garbage disposal' The brain's waste-clearing system significantly declines in function with repeated head impacts, according to a new study of cognitively ...

Researchers at the Beckman Institute's Center for Label-free Imaging and Multiscale Biophonics found that while an artificial intelligence method called virtual staining can improve the use of medical ...

Berkeley UCSF release open-source AI model Pillar-0 for medical imaging, validated on CT and MRI scans with superior accuracy to major competitors.

The application of physical principles to uncover the internal structures of the human body has been a significant part of medicine for more than a century. These innovations fall within the category ...