Artificial intelligence - Medical applications.
概要
| 作品: | 260 作品在 245 項出版品 245 種語言 | |
|---|---|---|
書目資訊
Cognitive informatics in health and biomedicinecase studies on critical care, complexity and errors /
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Applying machine learning for automated classification of biomedical data in subject-independent settings
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The art and science of machine intelligencewith an innovative application for Alzheimer's detection from speech /
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Artificial intelligence and machine learning for digital pathologystate-of-the-art and future challenges /
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The Art and Science of Machine Intelligence :With An Innovative Application for Alzheimer's Detection from Speech /
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The art and science of machine intelligence :with an innovative application for Alzheimer's detection from speech /
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Signal and image processing techniques for the development of intelligent healthcare systems
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Fog computing for healthcare 4.0 environmentstechnical, societal, and future implications /
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Computational intelligence methods in COVID-19surveillance, prevention, prediction and diagnosis /
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Explainable AI in healthcare and medicinebuilding a culture of transparency and accountability /
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The global environmental effects during and beyond COVID-19intelligent computing solutions /
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Digital transformation and emerging technologies for fighting COVID-19 pandemicinnovative approaches /
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Clinical neurotechnology meets artificial intelligencephilosophical, ethical, legal and social implications /
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Advances in artificial intelligence, computation, and data sciencefor medicine and life science /
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AI for healthcare with Keras and Tensorflow 2.0design, develop, and deploy machine learning models using healthcare data /
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The fusion of internet of things, artificial intelligence, and cloud computing in health care
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Multiple perspectives on artificial intelligence in healthcareopportunities and challenges /
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Artificial intelligence and machine learning in public healthcareopportunities and societal impact /
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Medical informatics and bioimaging using artificial intelligencechallenges, issues, innovations and recent developments /
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Computational intelligence for COVID-19 and future pandemicsemerging applications and strategies /
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Practical AI for healthcare professionalsmachine learning with Numpy, Scikit-learn, and TensorFlow /
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Integrating artificial intelligence and IoT for advanced health informaticsAI in the healthcare sector /
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Computational intelligence in oncologyapplications in diagnosis, prognosis and therapeutics of cancers /
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AI for disease surveillance and pandemic intelligenceintelligent disease detection in action /
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Handbook of research on lifestyle sustainability and management solutions using AI, big data analytics, and visualization
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Intelligence-based medicineartificial intelligence and human cognition in clinical medicine and healthcare /
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Artificial intelligence and machine learning methods in COVID-19 and related health diseases
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Artificial intelligence for healthcareinterdisciplinary partnerships for analytics-driven improvements in a Post-COVID world /
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Precision health and artificial intelligencewith privacy, ethics, bias, health equity, best practices, and case studies /
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Artificial intelligence and precision oncologybridging cancer research and clinical decision support /
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Artificial intelligence for accurate analysis and detection of autism spectrum disorder
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Artificial intelligence and machine learning for healthcare.Vol. 2,Emerging methodologies and trends
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Artificial intelligence and machine learning for healthcare.Vol. 1,Image and data analytics
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Pregnancy with artificial intelligencea 9.5 months journey from preconception to birth /
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Personalized medicine meets artificial intelligencebeyond "hype", towards the metaverse /
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Advances in smart healthcare paradigms and applicationsoutstanding women in healthcare.Volume 1 /
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Artificial intelligence for personalized medicinepromoting healthy living and longevity /
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Tele-healthcareapplications of artificial intelligence and soft computing techniques /
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The microRNA 2000 transformerquantum computing and artificial intelligence for health /
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Artificial intelligence and healthcarethe impact of algorithmic bias on health disparities /
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Artificial intelligence and autoimmune diseasesapplications in the diagnosis, prognosis, and therapeutics /
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Innovative smart healthcare and bio-medical systemsAI, intelligent computing and connected technologies /
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Artificial intelligence and machine learning in health care and medical sciencesbest practices and pitfalls /
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Artificial intelligence and brain researchneural networks, deep learning and the future of cognition /
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In silico clinical trials for cardiovascular diseasea finite element and machine learning approach /
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Machine learning and other soft computing techniquesbiomedical and related applications /
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Digitalization of medicine in low- and middle-income countriesparadigm changes in healthcare and biomedical research /
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Transforming healthcare sector through artificial intelligence and environmental sustainability
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Revolutionizing healthcare 5.0 : the power of generative AIadvancements in patient care through generative AI algorithms /
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Connected health insights for sustainable developmentintegrating IoT, AI, and data-driven solutions /
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Artificial intelligence-enabled security for healthcare systemssafeguarding patient data and improving services /
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The hospital manager's guide to artificial intelligenceconcepts, methods, and techniques /
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