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Telemedicine in Germany During the COVID-19 Pandemic: Multi-Professional National Survey

Journal of medical Internet research, 2020-08, Vol.22 (8), p.e19745-e19745

2020

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Two-stage visual speech recognition for intensive care patients

Scientific reports, 2023-01, Vol.13 (1), p.928-928, Article 928

2023

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Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care

NPJ digital medicine, 2021-02, Vol.4 (1), p.32-12, Article 32

2021

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Perception of the 2020 SARS-CoV-2 pandemic among medical professionals in Germany: results from a nationwide online survey

Emerging microbes & infections, 2020-01, Vol.9 (1), p.1590-1599

2020

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An Innovative Telemedical Network to Improve Infectious Disease Management in Critically Ill Patients and Outpatients (TELnet@NRW): Stepped-Wedge Cluster Randomized Controlled Trial

Journal of medical Internet research, 2022-03, Vol.24 (3), p.e34098-e34098

2022

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A Novel Hybrid Methodology for Anomaly Detection in Time Series

International journal of computational intelligence systems, 2022-12, Vol.15 (1), p.1-16, Article 50

2022

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Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study

JMIR medical informatics, 2022-08, Vol.10 (8), p.e37658-e37658

2022

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Standardized Comparison of Voice-Based Information and Documentation Systems to Established Systems in Intensive Care: Crossover Study

JMIR medical informatics, 2023-11, Vol.11, p.e44773-e44773

2023

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The Role of Ribonuclease 1 and Ribonuclease Inhibitor 1 in Acute Kidney Injury after Open and Endovascular Thoracoabdominal Aortic Aneurysm Repair

Journal of clinical medicine, 2020-10, Vol.9 (10), p.3292

2020

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Künstliche Intelligenz: Herausforderungen und Nutzen in der Intensivmedizin

Intensiv : Fachzeitschrift für Intensivpflege und Anästhesie, 2024-03, Vol.32 (2), p.76-82

2024

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Künstliche Intelligenz: Herausforderungen und Nutzen in der Intensivmedizin

Anästhesiologie, Intensivmedizin, Notfallmedizin, Schmerztherapie : AINS, 2022-03, Vol.57 (3), p.199-209

2022

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Self-directed learning can outperform direct instruction in the course of a modern German medical curriculum - results of a mixed methods trial

BMC medical education, 2016-06, Vol.16 (1), p.158-158, Article 158

2016

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Localization-Driven Speech Enhancement in Noisy Multi-Speaker Hospital Environments Using Deep Learning and Meta Learning

IEEE/ACM transactions on audio, speech, and language processing, 2023, Vol.31, p.670-683

2023

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Artificial Intelligence: Challenges and Applications in Intensive Care Medicine

Anasthesiologie, Intensivmedizin, Notfallmedizin, Schmerztherapie : AINS, 2022-03, Vol.57 (3), p.199

2022

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LITEVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.10391-10395

2024

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Impact of the COVID-19 Pandemic on Urologists in Germany

European urology focus, 2020-09, Vol.6 (5), p.1111-1119

2020

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Erratum to: Self-directed learning can outperform direct instruction in the course of a modern German medical curriculum - results of a mixed methods trial

BMC medical education, 2016-10, Vol.16 (1), p.265-265, Article 265

2016

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Prediction of Prolonged ICU Stay in Cardiac Surgery Patients as a Useful Method to Identify Nutrition Risk in Cardiac Surgery Patients: A Post Hoc Analysis of a Prospective Observational Study

JPEN. Journal of parenteral and enteral nutrition, 2019-08, Vol.43 (6), p.768-779

2019

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Management of ARDS: From ventilation strategies to intelligent technical support – Connecting the dots

Trends in anaesthesia & critical care, 2020-10, Vol.34, p.50-58

2020

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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

JMIR medical informatics, 2019-10, Vol.7 (4), p.e14806-e14806

2019

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On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets

Applications of Evolutionary Computation, p.254-269

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Evo-RL: evolutionary-driven reinforcement learning

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021, p.153-154

2021

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Exploration of unknown environments via evolution of behavioral and morphological properties of miniaturized sensory agents

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022, p.759-762

2022

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Co-Design for Gender Equality in an AI-Based Virtual Assistant for Intensive Care Units

2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference, 2022, p.1-7

2022

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A Novel NLP-FUZZY System Prototype for Information Extraction from Medical Guidelines

2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2019, p.1025-1030

2019

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Telemedicine in Germany During the COVID-19 Pandemic: Multi-Professional National Survey

Two-stage visual speech recognition for intensive care patients

Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care

Perception of the 2020 SARS-CoV-2 pandemic among medical professionals in Germany: results from a nationwide online survey

An Innovative Telemedical Network to Improve Infectious Disease Management in Critically Ill Patients and Outpatients (TELnet@NRW): Stepped-Wedge Cluster Randomized Controlled Trial

A Novel Hybrid Methodology for Anomaly Detection in Time Series

Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study

Standardized Comparison of Voice-Based Information and Documentation Systems to Established Systems in Intensive Care: Crossover Study

The Role of Ribonuclease 1 and Ribonuclease Inhibitor 1 in Acute Kidney Injury after Open and Endovascular Thoracoabdominal Aortic Aneurysm Repair

Künstliche Intelligenz: Herausforderungen und Nutzen in der Intensivmedizin

Künstliche Intelligenz: Herausforderungen und Nutzen in der Intensivmedizin

Self-directed learning can outperform direct instruction in the course of a modern German medical curriculum - results of a mixed methods trial

Localization-Driven Speech Enhancement in Noisy Multi-Speaker Hospital Environments Using Deep Learning and Meta Learning

Artificial Intelligence: Challenges and Applications in Intensive Care Medicine

LITEVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data

Impact of the COVID-19 Pandemic on Urologists in Germany

Erratum to: Self-directed learning can outperform direct instruction in the course of a modern German medical curriculum - results of a mixed methods trial

Prediction of Prolonged ICU Stay in Cardiac Surgery Patients as a Useful Method to Identify Nutrition Risk in Cardiac Surgery Patients: A Post Hoc Analysis of a Prospective Observational Study

Management of ARDS: From ventilation strategies to intelligent technical support – Connecting the dots

A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study

On the Use of Evolutionary Computation for In-Silico Medicine: Modelling Sepsis via Evolving Continuous Petri Nets

Evo-RL: evolutionary-driven reinforcement learning

Exploration of unknown environments via evolution of behavioral and morphological properties of miniaturized sensory agents

Co-Design for Gender Equality in an AI-Based Virtual Assistant for Intensive Care Units

A Novel NLP-FUZZY System Prototype for Information Extraction from Medical Guidelines

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