The article presents Health-LLM, an AI-based model for disease prediction and health management. Traditional health management methods are limited by static data and uniform standards, preventing full integration with individual…
Continue readingThis paper discusses the importance of communication among healthcare professionals for patient treatment. The researchers introduce EHRFlow, a system used to analyze the effectiveness and efficiency of temporal communication networks…
Continue readingThis article presents a study examining the fairness of self-supervised learning (SSL) models compared to their supervised counterparts. The researchers hypothesized that SSL models would be less biased, and their…
Continue readingThe study presents SAIC, a novel pipeline that effectively integrates speech anonymization and identity classification. It has shown remarkable performance, particularly in speaker identity classification tasks, achieving a top-1 accuracy…
Continue readingThe study focuses on indoor air pollution, a key factor in respiratory and cardiovascular diseases. The researchers conducted a three-month-long field study in over 28 indoor spaces using their custom-built…
Continue readingThis study focuses on the task of data annotation in Intensive Care Units (ICUs), a crucial aspect for implementing machine learning solutions in healthcare. The process of data annotation, which…
Continue readingThe article by Satvik Garg, Shivam Parikh, and Somya Garg, published on September 28, 2023, explores the prominence of Knowledge Graphs (KGs) in Healthcare AI, with a particular focus on…
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