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TSYS School Computer Scientist Yi Zhou Studies AI Technology in Healthcare

A new study appearing in the latest issue of Future Internet by TSYS School computer scientist Yi Zhou and computer scientists from Auburn University provides a comprehensive overview of past developments and recent progress in the area of AI technology, which they state has developed rapidly in recent years, leading to widespread use in daily life. According to Zhou, "In healthcare, AI has been integrated into the field to develop the new domain of smart healthcare. In smart healthcare, opportunities and challenges coexist." The study by Zhou et al. first summarizes the definition and characteristics of smart healthcare. Next, Zhou et al. explore the opportunities that AI technology brings to the smart healthcare field from a macro perspective. The final two sections of the study categorize specific AI applications in smart healthcare into 10 domains and identify 10 key challenges these applications face. The 10 applications lie in the areas of disease prevention and prediction, diagnostic imaging, personalized treatment plans, virtual health assistance, remote patient monitoring, drug discovery and development, robotic surgery, electronic health records, behavioral health support, and clinical trial matching. The challenges include data integration and interoperability, large-scale data handling, real-time processing, model interpretability, continuous learning and adaptability, security of AI models, ethical AI design, integration with electronic health records, scalability, and underserved/remote areas with limited connectivity. "Ultimately, the study underscores that the benefits of AI outweigh these challenges, signaling a promising future for AI in addressing the complex demands of healthcare," Zhou added.
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