Tag: Machine learning

A multicentre study of 607 Chinese psychiatric nurses used interpretable machine learning to identify perceived pressure, age, professional identity, depression ...

A leakage-controlled multimodal AI model combining PET/CT radiomics, deep-learning features, metabolic parameters and blood-based indices achieved moderate preoperative prediction of ...

University of Pittsburgh researchers have developed a diagnostic-guided method that makes gold-standard coupled cluster calculations fast and accurate for strongly ...

A sweeping review of 1,081 studies from 2014 to 2024 shows convolutional neural networks rapidly becoming the world's leading tool ...

Harvard-led researchers developed a transcriptomic aging clock to screen rejuvenation genes and found that over-expressing the RNA splicing factor SRSF1 ...

A combined spectral CT and radiomics nomogram achieved over 0.9 area under the curve in distinguishing pancreatic neuroendocrine tumors from ...

A new review examines how artificial intelligence and machine learning could transform the design of sustainable, non-toxic marine antifouling coatings ...

Turkish researchers tested fifteen machine learning models to predict chemotherapy response in metastatic colorectal cancer, finding that a tuned LightGBM ...

Researchers have built an interpretable fuzzy logic system that detects at-risk students with high recall and translates risk scores into ...

MIT-led researchers developed a machine-learning postprocessing technique that doubles forecast accuracy in the two-to-six-week subseasonal range and beat climatological averages ...