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  • Book
    Mowafa Househ, Elizabeth Borycki, Andre Kushniruk, editors.
    Summary: This book offers a comprehensive yet concise overview of the challenges and opportunities presented by the use of artificial intelligence in healthcare. It does so by approaching the topic from multiple perspectives, e.g. the nursing, consumer, medical practitioner, healthcare manager, and data analyst perspective. It covers human factors research, discusses patient safety issues, and addresses ethical challenges, as well as important policy issues. By reporting on cutting-edge research and hands-on experience, the book offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes. It will also benefit students and researchers whose work involves artificial intelligence-related research issues in healthcare.

    Contents:
    Reinforcement Learning Applications in Health Informatics
    Artificial intelligence in the fight against the COVID-19 pandemic: opportunities and challenges
    The Human Factors of AI in Healthcare: Recurrent Issues, Future Challenges and Ways Forward
    Artificial intelligence and medication management
    The Safety of AI in Healthcare: Emerging Issues and Considerations for Healthcare
    Reflections on the Clinical Acceptance of Artificial Intelligence
    Artificial Intelligence for Chatbots in Mental Health: Opportunities and Challenges
    AI and Machine Learning in Diabetes Management: Opportunity, Status, and Challenges
    Utilizing Health Analytics in Improving the Performance of Hospitals and Healthcare Services: Promises and Challenges
    Perspectives on Human-AI Interaction applied to Health and Wellness Management: Between Milestones and Hurdles.
    Digital Access Springer 2021
  • Article
    Sen GC, Desrosiers R, Ratner L, Shaila S, Brown GE, Lebleu B, Slattery E, Kawakita M, Cabrer B, Taira H, Lengyel P.
    Tex Rep Biol Med. 1977;35:221-9.
    Extracts from interferon-treated, not virus infected EAT cells differ in several biochemical characteristics from extracts of untreated cells. Some of these differences are manifested only if the extracts are supplemented with ds RNA and ATP. Thus, in the extracts from interferon-treated cells these supplements activate a protein kinase and an endonuclease activity as well as an inhibitor of the translation of messenger RNA. The effect of the same supplements in extracts of untreated cells is much less pronounced. Other differences between the two types of extracts do not seem to depend on the addition of ds RNA and ATP. These include an impairment of mRNA cap methylation and an inhibition of peptide chain elongation that can be overcome by the addition of tRNA. The treatment of human (HeLa S3) cells with human interferon is manifested in the cell extract similarly to the treatment of EAT cells with mouse interferon. Studies are underway to isolate and characterize the ds RNA activated enzymes and the inhibitors and to establish how the presence of these in extracts from interferon-treated cells can account for the impairment of virus replication by interferon.
    Digital Access Access Options