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Titlebook: Artificial Intelligence in Medicine; Niklas Lidströmer,Hutan Ashrafian Reference work 2022 Springer Nature Switzerland AG 2022 Deep Medici

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发表于 2025-3-21 19:44:07 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence in Medicine
影响因子2023Niklas Lidströmer,Hutan Ashrafian
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发行地址Covers challenges and problems faced through the use of artificial intelligence in medicine.Reviews the literature to give readers a scientific foundation.Contains original images and illustrations to
图书封面Titlebook: Artificial Intelligence in Medicine;  Niklas Lidströmer,Hutan Ashrafian Reference work 2022 Springer Nature Switzerland AG 2022 Deep Medici
影响因子This book provides a structured and analytical guide to the use of artificial intelligence in medicine. Covering all areas within medicine, the chapters give a systemic review of the history, scientific foundations, present advances, potential trends, and future challenges of artificial intelligence within a healthcare setting...Artificial Intelligence in Medicine. aims to give readers the required knowledge to apply artificial intelligence to clinical practice. The book is relevant to medical students, specialist doctors, and researchers whose work will be affected by artificial intelligence..
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Sensual Being & Tangible Touch,ly if there are limited numbers of training examples. The causal cognitive architecture is reviewed. This architecture stores information in the form of navigation maps, which it can update and link/retrieve to/from other navigation maps, and produces precausal behavior. If intermediate maps from it
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https://doi.org/10.1007/978-3-319-92126-6ed 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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Fashioning England and the Englishng 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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