Browsing by Author "Chen, Zhongning"

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    Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
    (MDPI, 2022-11-26) Gautam, Nitesh; Ghanta, Sai Nikhila; Mueller, Joshua; Mansour, Munthir; Chen, Zhongning; Puente, Clara; Ha, Yu Mi; Tarun, Tushar; Dhar, Gaurav; Sivakumar, Kalai; Zhang, Yiye; Halimeh, Ahmed Abu; Nakarmi, Ukash; Al-Kindi, Sadeer; DeMazumder, Deeptankar; Al’Aref, Subhi J.; Medicine, School of Medicine
    Substantial milestones have been attained in the field of heart failure (HF) diagnostics and therapeutics in the past several years that have translated into decreased mortality but a paradoxical increase in HF-related hospitalizations. With increasing data digitalization and access, remote monitoring via wearables and implantables have the potential to transform ambulatory care workflow, with a particular focus on reducing HF hospitalizations. Additionally, artificial intelligence and machine learning (AI/ML) have been increasingly employed at multiple stages of healthcare due to their power in assimilating and integrating multidimensional multimodal data and the creation of accurate prediction models. With the ever-increasing troves of data, the implementation of AI/ML algorithms could help improve workflow and outcomes of HF patients, especially time series data collected via remote monitoring. In this review, we sought to describe the basics of AI/ML algorithms with a focus on time series forecasting and the current state of AI/ML within the context of wearable technology in HF, followed by a discussion of the present limitations, including data integration, privacy, and challenges specific to AI/ML application within healthcare.