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Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities
Recent advancements in AI applications to healthcare have shown incredible promise in
surpassing human performance in diagnosis and disease prognosis. With the increasing …
surpassing human performance in diagnosis and disease prognosis. With the increasing …
Multimodal artificial intelligence: next wave of innovation in healthcare and medicine
Multimodality refers to the utilization of different data types with different representational
modes. Medical and health data are becoming more and more multimodal. Emerging …
modes. Medical and health data are becoming more and more multimodal. Emerging …
Improving downstream task performance by treating numbers as entities
Numbers are essential components of text, like any other word tokens, from which natural
language processing (NLP) models are built and deployed. Though numbers are typically …
language processing (NLP) models are built and deployed. Though numbers are typically …
MSIF: Multi-source Information Fusion for Financial Question Answering
M Lin, D Zeng, J Ouyang, Y Shen - International Conference on Artificial …, 2024 - Springer
Research on hybrid data, which combines tabular and textual content, has garnered
significant interest in financial question answering. Recent approaches mainly focus on the …
significant interest in financial question answering. Recent approaches mainly focus on the …