{"id":10226,"date":"2023-09-18T13:44:38","date_gmt":"2023-09-18T13:44:38","guid":{"rendered":"https:\/\/www.clinomic.ai\/?page_id=10226"},"modified":"2024-08-29T13:11:49","modified_gmt":"2024-08-29T13:11:49","slug":"clinomic-ai-lab","status":"publish","type":"page","link":"https:\/\/www.clinomic.ai\/de\/clinomic-ai-lab\/","title":{"rendered":"Publikationen und Konferenzen"},"content":{"rendered":"
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Publikationen und Konferenzen<\/h2>\n <\/div>\n
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Nature Partner Journal Digital Medicine<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Development and Validation of a Reinforcement Learning Algorithm to Dynamically Optimize Mechanical Ventilation in Critical Care<\/p>\n <\/div>\n

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Nature Scientific Reports<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Two-Stage Visual Speech Recognition for Intensive Care Patients<\/p>\n <\/div>\n

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Emerging Microbes and Infections<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Perception of the 2020 SARS-CoV-2 Pandemic among Medical Professionals in Germany<\/p>\n <\/div>\n

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JMIR Medical Informatics<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Telemedicine in Germany during the COVID-19 Pandemic: Multi-Professional National Survey.Only 135 characters allowed.<\/p>\n <\/div>\n

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EvoStar<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets.\u201d In Applications of Evolutionary Computatio<\/p>\n <\/div>\n

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Pneumologie<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Perception of the COVID-19 Pandemic among Pneumology Professionals in Germany<\/p>\n <\/div>\n

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JMIR Medical Informatics<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Standardized comparison of voice-based information and documentation systems to established systems in Intensive Care: A Cross-Sectional study.<\/p>\n <\/div>\n

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JMIR Medical Informatics<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Predicting abnormalities in laboratory values for patients in the intensive care unit using deep artificial neural networks<\/p>\n <\/div>\n

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European Urology Focus<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Impact of the COVID-19 Pandemic on Urologists in Germany<\/p>\n <\/div>\n

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An\u00e4sthesiologie & Intensivmedizin<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Artificial Intelligence and Machine Learning in Intensive Care Research and Clinical Application.<\/p>\n <\/div>\n

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International Journal of Computational Intelligence Systems<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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A Novel Hybrid Methodology for Anomaly Detection in Time Series. International Journal of Computational Intelligence Systems<\/p>\n <\/div>\n

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AINS<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Artificial Intelligence: Challenges and Applications in Intensive Care<\/p>\n <\/div>\n

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Der Anaesthesist<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Was Ist Neu… Einsatz von K\u00fcnstlicher Intelligenz in der Intensivmedizin.<\/p>\n <\/div>\n

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JMIR Medical Informatics<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study<\/p>\n <\/div>\n

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MECO<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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A Machine Learning Approach for the Classification of Disease Risks in Time Series<\/p>\n <\/div>\n

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MIPRO<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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A Novel NLP-Fuzzy System Prototype for Information Extraction from Medical Guidelines.<\/p>\n <\/div>\n

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IEEE SAMI<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Incremental Parameter Estimation of Stochastic State-Based Models.<\/p>\n <\/div>\n

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Big Data Analytics for Cyber-Physical Systems<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Machine Learning in Future Intensive Care\u2014Classification of Stochastic Petri Nets via Continuous-Time Markov Chains<\/p>\n <\/div>\n

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GECCO<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Evo-RL: Evolutionary-Driven Reinforcement Learning<\/p>\n <\/div>\n

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GECCO<\/h6>\n <\/div>\n <\/div>\n\n <\/div>\n
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Exploration of unknown environments via evolution of behavioral and morphological properties of miniaturized sensory agents<\/p>\n <\/div>\n

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Neuigkeiten aus dem Clinomic AI Lab<\/h2>\n\n\n
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Using Clinical Data and AI to reshape COPD – fractional dynamics deep learning models<\/h3>\n Jetzt lesen<\/strong><\/a> <\/span><\/nobr>\n <\/div>\n\n <\/div>\n<\/div>
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VentAI: The Future of Mechanical Ventilation for Critically Ill Patients<\/h3>\n Jetzt lesen<\/strong><\/a> <\/span><\/nobr>\n <\/div>\n\n <\/div>\n<\/div>
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New paper: Artificial intelligence and machine learning in intensive care research and clinical application<\/h3>\n Jetzt lesen<\/strong><\/a> <\/span><\/nobr>\n <\/div>\n\n <\/div>\n<\/div>\t\t\t<\/div>\n\t\t\t<\/div>\n<\/div>\n\n\n
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Wir danken den Unterst\u00fctzern unserer Forschungsarbeit<\/h4>\n <\/div>\n <\/div>\n
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\n \"\" <\/div>\n \n <\/div>\n <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

Neuigkeiten aus dem Clinomic AI Lab […]<\/p>\n

Weiterlesen…<\/a><\/p>\n","protected":false},"author":12,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"iawp_total_views":360,"footnotes":"","_et_pb_custom_css":""},"class_list":["post-10226","page","type-page","status-publish","hentry"],"acf":[],"_et_pb_custom_css":"","yoast_head":"\nPublikationen und Konferenzen - Clinomic<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.clinomic.ai\/de\/clinomic-ai-lab\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Publikationen und Konferenzen - Clinomic\" \/>\n<meta property=\"og:description\" content=\"Neuigkeiten aus dem Clinomic AI Lab [...]Weiterlesen...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.clinomic.ai\/de\/clinomic-ai-lab\/\" \/>\n<meta property=\"og:site_name\" content=\"Clinomic\" \/>\n<meta property=\"article:modified_time\" content=\"2024-08-29T13:11:49+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data1\" content=\"1\u00a0Minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.clinomic.ai\\\/de\\\/clinomic-ai-lab\\\/\",\"url\":\"https:\\\/\\\/www.clinomic.ai\\\/de\\\/clinomic-ai-lab\\\/\",\"name\":\"Publikationen und Konferenzen - 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