When Every Missed Breath Counts: AI Debate Over Detecting Neonatal Pneumothorax
A scholarly exchange in Pediatric Radiology over a deep learning model for detecting neonatal pneumothorax highlights the gap between overall ...
A scholarly exchange in Pediatric Radiology over a deep learning model for detecting neonatal pneumothorax highlights the gap between overall ...
A 50-nanometer gold-coated optical fiber sensor combined with a machine-learning classifier distinguishes bovine, porcine, and fish gelatin with 96.55% accuracy ...
A study of 5,580 ICU patients with coronary heart disease shows that combining the stress hyperglycemia ratio with a laboratory-based ...
A new review in Cellular and Molecular Life Sciences proposes hybrid biological-digital tumor twins, coupling patient-derived organoids with computational models ...
Researchers in China built a multimodal AI framework combining clinical data, CT enterography radiomics and deep learning on double-balloon enteroscopy ...
An XGBoost artificial intelligence model trained on Swedish neurointensive care data has successfully predicted dangerous intracranial pressure surges in traumatic ...
Researchers at Lorestan University have combined ant colony optimization, reinforcement learning, and opposition-based learning in a semi-supervised framework that improves ...
An integrative systems toxicology study links the common antimicrobial triclosan to oxidative stress and cartilage matrix remodeling in chondrocytes, identifying ...
A new Journal of Medical Systems Comment argues that how clinical AI systems select cases for human review must itself ...
A new deep learning radiomics model built on preoperative multiparametric MRI achieved AUCs up to 0.95 in predicting three-year breast ...
A machine learning framework called BioBombe maps the biological processes that cancers depend on for survival, revealing new vulnerabilities and ...
A researcher at IIIT Allahabad has developed IDP-T5CKNN, a lightweight protein language model method that outperforms more than 20 existing ...
Researchers at Persian Gulf University have developed matrix balance regression, a two-stage framework that combines a stabilized parametric model with ...
A retrospective study found that combining a thymoma with a three-millimeter rim of surrounding tissue on CT scans improved machine ...
A rigorous cross-validated study of over 300 participants in Gujarat, India, found that manually coded graphological handwriting features failed to ...
Researchers in New Delhi have built a wireless force myography armband that classifies twenty hand gestures with over 96 percent ...
A new scoping review maps how artificial intelligence is being tested across emergency care and disaster response, and finds that ...
A new AI-IoT framework combining an LSTM autoencoder with Random Forest regression achieves near-perfect anomaly detection and accurate water quality ...
A new survey in the Journal of Big Data uses machine learning, deep learning, and advanced analytics to evaluate the ...
A remote sensing and machine learning study of Poyang Lake reveals that extreme precipitation drives wetland plant diversity through scale-dependent ...
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