Artificial intelligence - Medical applications.
Overview
Works: | 202 works in 189 publications in 189 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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Advancing artificial intelligence through biological process applications /
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Machine learning in radiation oncology = theory and applications /
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(Language materials, printed)
Artificial intelligence in decision support systems for diagnosis in medical imaging
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(Electronic resources)
Artificial intelligence in medical imaging = opportunities, applications and risks /
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(Electronic resources)
Artificial intelligence in diffusion MRI = enhanced cuckoo search algorithm with metaheuristic components for extracting the maxima of the orientation distribution function /
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(Electronic resources)
Machine learning with health care perspective = machin learning and healthcare /
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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 environments = technical, societal, and future implications /
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(Electronic resources)
Machine learning and AI for healthcare = big data for improved health outcomes /
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(Electronic resources)
Clinical neurotechnology meets artificial intelligence = philosophical, ethical, legal and social implications /
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Internet of medical things = remote healthcare systems and applications /
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Multiple perspectives on artificial intelligence in healthcare = opportunities and challenges /
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Artificial intelligence/machine learning in nuclear medicine and hybrid imaging
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(Electronic resources)
Radiomics and its clinical application = artificial intelligence and medical big data /
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(Electronic resources)
Sustainable smart healthcare = lessons learned from the COVID-19 pandemic /
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Advances in smart healthcare paradigms and applications = outstanding women in healthcare.. Volume 1 /
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Explainable machine learning for multimedia based healthcare applications
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Advanced technologies in healthcare = AI, signal processing, digital twins and 5G /
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Cognitive informatics in health and biomedicine = case studies on critical care, complexity and errors /
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Intelligent networks = recent approaches and applications in medical systems /
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Foundations of biomedical knowledge representation = methods and applications /
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Applying machine learning for automated classification of biomedical data in subject-independent settings
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Machine learning and AI for healthcare = big data for improved health outcomes /
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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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Advancement of machine intelligence in interactive medical image analysis
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Advanced computational intelligence in healthcare.. 7,. Biomedical informatics
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Artificial intelligence and machine learning for digital pathology = state-of-the-art and future challenges /
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Computational intelligence methods in COVID-19 = surveillance, prevention, prediction and diagnosis /
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Cognitive internet of medical things for smart healthcare = services and applications /
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Explainable AI in healthcare and medicine = building a culture of transparency and accountability /
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Deep learning and edge computing solutions for high performance computing
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Emerging technologies for battling Covid-19 = applications and innovations /
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Digitalization in healthcare = implementing innovation and artificial intelligence /
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Digital transformation and emerging technologies for fighting COVID-19 pandemic = innovative approaches /
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Enhanced telemedicine and e-health = advanced IoT enabled soft computing framework /
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The global environmental effects during and beyond COVID-19 = intelligent computing solutions /
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Artificial intelligence for information management = a healthcare perspective /
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Advanced machine learning approaches in cancer prognosis = challenges and applications /
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Deep learning for biomedical data analysis = techniques, approaches, and applications /
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Advances in artificial intelligence, computation, and data science = for 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 2.0 = design, develop, and deploy machine learning models using healthcare data /
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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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Medical informatics and bioimaging using artificial intelligence = challenges, issues, innovations and recent developments /
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Computational intelligence for COVID-19 and future pandemics = emerging applications and strategies /
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Machine learning in clinical neuroscience = foundations and applications /
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Practical AI for healthcare professionals = machine learning with Numpy, Scikit-learn, and TensorFlow /
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Integrating artificial intelligence and IoT for advanced health informatics = AI in the healthcare sector /
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Computational intelligence in oncology = applications in diagnosis, prognosis and therapeutics of cancers /
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AI for disease surveillance and pandemic intelligence = intelligent disease detection in action /
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Augmented intelligence in healthcare = a pragmatic and integrated analysis /
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Artificial intelligence and machine learning in public healthcare = opportunities and societal impact /
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Artificial intelligence and machine learning methods in COVID-19 and related health diseases
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Artificial intelligence in medicine = applications, limitations and future directions /
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Artificial intelligence in healthcare = recent applications and developments /
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Intelligence-based medicine = artificial intelligence and human cognition in clinical medicine and healthcare /
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Current and future application of artificial intelligence in clinical medicine
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Artificial intelligence in medical imaging = from theory to clinical practice /
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Artificial intelligence and machine learning for healthcare.. Vol. 1,. Image and data analytics
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Pregnancy with artificial intelligence = a 9.5 months journey from preconception to birth /
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Artificial intelligence and precision oncology = bridging cancer research and clinical decision support /
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Deep learning in cancer diagnostics = a feature-based transfer learning evaluation /
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Deployable multimodal machine intelligence = applications in biomedical engineering /
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Precision health and artificial intelligence = with privacy, ethics, bias, health equity, best practices, and case studies /
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Personalized medicine meets artificial intelligence = beyond "hype", towards the metaverse /
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Artificial intelligence for personalized medicine = promoting healthy living and longevity /
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The microRNA 2000 transformer = quantum computing and artificial intelligence for health /
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Artificial intelligence for accurate analysis and detection of autism spectrum disorder
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Artificial intelligence and autoimmune diseases = applications in the diagnosis, prognosis, and therapeutics /
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Artificial intelligence and machine learning for healthcare.. Vol. 2,. Emerging methodologies and trends
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Smart and healthy walking = toward better health and life in smart cities /
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Artificial intelligence and machine learning in health care and medical sciences = best practices and pitfalls /
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Deep medicine : = how artificial intelligence can make healthcare human again /
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The fusion of internet of things, artificial intelligence, and cloud computing in health care
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Machine learning for critical internet of medical things = applications and use cases /
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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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Neural networks and artificial intelligence for biomedical engineering /
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Artificial intelligence for healthcare = interdisciplinary partnerships for analytics-driven improvements in a Post-COVID world /
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Artificial intelligence and computational dynamics for biomedical research
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Tele-healthcare = applications of artificial intelligence and soft computing techniques /
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Deep learning in smart eHealth systems = evaluation leveraging for Parkinson's disease /
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Artificial intelligence in drug development = patenting and regulatory aspects /
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Surveillance, prevention, and control of infectious diseases = an AI perspective /
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