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Found 4 papers, 1 papers with code
Bias patterns in the application of LLMs for clinical decision support: A comprehensive study
Large Language Models (LLMs) have emerged as powerful candidates to inform clinical decision-making processes.
Multimodal Sleep Apnea Detection with Missing or Noisy Modalities
Our experiments show that the proposed model outperforms other state-of-the-art approaches in sleep apnea detection using various subsets of available data and different levels of noise, and maintains its high performance (AUROC>0. 9) even in the presence of high levels of noise or missingness.
Who will Leave a Pediatric Weight Management Program and When? -- A machine learning approach for predicting attrition patterns
Childhood obesity is a major public health concern.
Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net
Automated 3-D breast ultrasound (ABUS) is a newfound system for breast screening that has been proposed as a supplementary modality to mammography for breast cancer detection.
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