Opening the Black Box: How Explainable AI Could Transform Schizophrenia Care
A sweeping systematic review maps how explainable artificial intelligence is being applied to schizophrenia diagnosis, prognosis, and monitoring, and outlines ...
A sweeping systematic review maps how explainable artificial intelligence is being applied to schizophrenia diagnosis, prognosis, and monitoring, and outlines ...
A deep learning attribution study reveals that snowpack loss and winter warming interact synergistically to drive amphibian and reptile extirpation ...
A large Chinese case-control study combining machine learning and polygenic risk scores finds that home literacy environment and shared genetic ...
Researchers have built a framework that turns AI explanation maps into a single score capable of predicting when a breast ...
A 5.6-microsecond molecular dynamics study combined with machine learning has mapped the dynamic network of residues that control opening and ...
A closed-loop AI platform that senses water contamination and adaptively doses smart nanomaterials achieved over 90 percent classification accuracy and ...
A new machine learning study shows that two laboratory measurements, including destructive FRP coupon testing, can be dropped when predicting ...
Researchers in Wuhan combined automated whole-brain MRI segmentation with APACHE II and SOFA scores in an XGBoost machine learning model ...
An explainable machine learning study of Jeju Island shows that flood occurrence is governed by region-specific interactions among rainfall, groundwater, ...
A machine learning model trained on more than 12,000 infant screenings uses twelve clinical and demographic variables to identify which ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine