Titlebook: Artificial Intelligence in Medicine; Niklas Lidstr?mer,Hutan Ashrafian Living reference work 20200th edition Deep Medicine.Machine Learni

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Artificial Intelligence in Evidence-Based Medicine,ng processes. AI can help engage patients and elicit values (e.g., chatbot-based decision aids) as well as provide coordinated care for patients with multimorbidities..However, improperly implementing AI can also exacerbate problems in EBM. For instance, if AI-enabled decision support systems fail t

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Artificial Intelligence in Public Health,pect, rather than at the desired moment. Evidence-based policy would appear to be more legitimate and robust. AI could also change the way public health systems are organized at various levels. Learning healthcare systems, for example, are designed to adapt more or less autonomously to changing heal

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Aim in Genomics,and structure of disease modules are largely unexplored. The purpose of this study is to systematically analyze the relationship between structural proximity of disease modules and categorical similarity of diseases, by aligning human-curated disease taxonomies with disease taxonomies automatically

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https://doi.org/10.1007/978-0-387-92213-3ed to improve the medical analyses. We present the most common used algorithms in automatic medical diagnosis and the advance in explainability of machine learning-based systems to validate healthcare decision-making.

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https://doi.org/10.1007/978-0-387-92213-3ence (AI)-based studies on account of their niche study considerations. As such, there has been a concerted effort to produce AI-specific extensions to preexisting instruments, such as CONSORT, SPIRIT, STARD, TRIPOD, QUADAS, and PROBAST. This chapter expands upon why AI-specific amendments to these

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https://doi.org/10.1007/978-94-007-4503-2y and ensure that a greater public good is achieved and distributed fairly across society. Furthermore, developers need to ensure data privacy by design and to make use of innovative technologies being specifically developed for this purpose. AI technologists need to enter a meaningful and open dial