Using clinical images in DL systems may improve skin cancer detection by providing a more inclusive representation of real-world lesions. DenseNet models outperformed others in binary classification, ...
Of 372 patients studied, 79.3% and 20.7% were in the completion group and the non-completion group, respectively. The final BERT model achieved average F1 scores of 0.91 and 0.98 for time to ...
Development and Validation of an Artificial Intelligence Digital Pathology Biomarker to Predict Benefit of Long-Term Hormonal Therapy and Radiotherapy in Men With High-Risk Prostate Cancer Across ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...
A research team has developed a groundbreaking deep learning-based method for analyzing the cytoskeleton -- the structural framework inside cells -- more accurately and efficiently than ever before.
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NTU scholar proposes four-step model for AI learning
A Nanyang Technological University scholar has introduced a four-dimensional framework to help students engage with AI in ways that preserve intellectual agency. The model moves learners from ...
Researchers have proposed an integrated eco-driving framework for fuel cell hybrid electric vehicles in multi-lane highway ...
Researcher have developed a "Shallow Brain" AI model that mimics the connections between the cortex and subcortical regions, ...
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