New research published Thursday attempts to shed light on these questions. Four peer-reviewed studies, appearing in the journals Science and Nature, are the first results of a long-awaited, repeatedly ...
Deep-learning algorithms significantly enhance clinicians’ ability to correctly identify paediatric elbow fractures, a notoriously challenging diagnosis.
We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines ...
Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...
Researchers from Brigham Young University, Johns Hopkins and Harvard have created an algorithm that can predict suicidal thoughts and behavior among adolescents with 91% accuracy. The researchers ...
A new study published in the Journal of Experimental Psychology: General suggests that personalization algorithms used by ...
A novel software algorithm compatible with a wide range of smartwatches and wearable fitness trackers successfully detected atrial fibrillation (AF) in users of such devices with a positive predictive ...
Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that. A new study shows how ...
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