AI Reads Chest X-Rays With Near-Perfect Accuracy, Then Stumbles in the Real World
A new systematic review of 121 studies finds that AI models reading chest X-rays reach 96 to 99 percent accuracy ...
A new systematic review of 121 studies finds that AI models reading chest X-rays reach 96 to 99 percent accuracy ...
Researchers have built a transfer-learning ensemble framework that predicts end-of-semester student performance from just the first eight practical sessions, even ...
A new study combines transfer learning, quantitative explainable AI, and drone-based tile-grid spray mapping to target pesticide application in pepper, ...
A comprehensive review finds that diffuse reflectance spectroscopy can reliably predict many soil fertility properties within seconds, but transferability, chromophore ...
Researchers have developed SRRI, a source-free domain adaptation method that uses CLIP as an external verifier to de-bias pseudo-source domains ...
Researchers combined a CNN-LSTM deep learning network pre-trained on radiative transfer simulations with transfer learning to estimate potato leaf area ...
A harmonised benchmark of lexical models, biomedical transformers and retrieval-grounded large language models shows that internal test scores fail to ...
Researchers have developed AVP-Pro, a two-stage deep learning framework that identifies antiviral peptides and predicts which virus families and specific ...
A new baseline study shows that deep learning can learn meaningful microstructural information from severely imbalanced ultra-high carbon steel images, ...
A new study shows that embeddings from a pretrained chemical language model nearly match classical QSAR methods in predicting which ...
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© 2025 Scienmag - Science Magazine