Artificial intelligence - Medical applications.
Overview
Works: | 188 works in 175 publications in 175 languages |
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Titles
Knowledge Management for Health Care Procedures :From Knowledge to Global Care, AIME 2007 Workshop K4CARE 2007, Amsterdam, The Netherlands, July 7, 2007, Revised Selected Papers /
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Neural networks and artificial intelligence for biomedical engineering /
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Cognitive informatics in health and biomedicinecase studies on critical care, complexity and errors /
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Intelligent networksrecent approaches and applications in medical systems /
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Foundations of biomedical knowledge representationmethods and applications /
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Artificial intelligence in decision support systems for diagnosis in medical imaging
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Applying machine learning for automated classification of biomedical data in subject-independent settings
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Artificial intelligence in medical imagingopportunities, applications and risks /
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Machine learning and AI for healthcarebig data for improved health outcomes /
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Machine learning with health care perspectivemachin learning and healthcare /
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Advanced computational intelligence in healthcare.7,Biomedical informatics
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Artificial intelligence in diffusion MRIenhanced cuckoo search algorithm with metaheuristic components for extracting the maxima of the orientation distribution function /
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Advancement of machine intelligence in interactive medical image analysis
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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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(Language materials, printed)
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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Cognitive internet of medical things for smart healthcareservices and applications /
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Explainable AI in healthcare and medicinebuilding a culture of transparency and accountability /
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Machine learning and AI for healthcarebig data for improved health outcomes /
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Deep learning and edge computing solutions for high performance computing
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Enhanced telemedicine and e-healthadvanced IoT enabled soft computing framework /
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The global environmental effects during and beyond COVID-19intelligent computing solutions /
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Artificial intelligence for information managementa healthcare perspective /
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Advanced machine learning approaches in cancer prognosischallenges and applications /
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Digitalization in healthcareimplementing innovation and artificial intelligence /
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Digital transformation and emerging technologies for fighting COVID-19 pandemicinnovative approaches /
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Emerging technologies for battling Covid-19applications and innovations /
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Clinical neurotechnology meets artificial intelligencephilosophical, ethical, legal and social implications /
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Deep learning for biomedical data analysistechniques, approaches, and applications /
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Advances in artificial intelligence, computation, and data sciencefor medicine and life science /
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Applications of artificial intelligence in business, education and healthcare
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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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Handbook of artificial intelligence in healthcare.Vol. 1,Advances and applications
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Handbook of artificial intelligence in healthcare.Vol 2,Practicalities and prospects
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Machine learning for critical internet of medical thingsapplications and use cases /
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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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Augmented intelligence in healthcarea pragmatic and integrated analysis /
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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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Machine learning and data analytics for predicting, managing, and monitoring disease
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Handbook of research on lifestyle sustainability and management solutions using AI, big data analytics, and visualization
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Radiomics and its clinical applicationartificial intelligence and medical big data /
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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 in medicineapplications, limitations and future directions /
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Artificial intelligence/machine learning in nuclear medicine and hybrid imaging
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Artificial intelligence for healthcareinterdisciplinary partnerships for analytics-driven improvements in a Post-COVID world /
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Current and future application of artificial intelligence in clinical medicine
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Artificial intelligence in medical imagingfrom theory to clinical practice /
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Artificial intelligence in healthcarerecent applications and developments /
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Deep learning in cancer diagnosticsa feature-based transfer learning evaluation /
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Deployable multimodal machine intelligenceapplications in biomedical engineering /
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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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Artificial intelligence and computational dynamics for biomedical research
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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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Explainable machine learning for multimedia based healthcare applications
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Artificial intelligence and healthcarethe impact of algorithmic bias on health disparities /
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Advanced technologies in healthcareAI, signal processing, digital twins and 5G /
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