Publikationen und Konferenzen

Nature Partner Journal Digital Medicine

Development and Validation of a Reinforcement Learning Algorithm to Dynamically Optimize Mechanical Ventilation in Critical Care

Nature Scientific Reports

Two-Stage Visual Speech Recognition for Intensive Care Patients

Emerging Microbes and Infections

Perception of the 2020 SARS-CoV-2 Pandemic among Medical Professionals in Germany

JMIR Medical Informatics

Telemedicine in Germany during the COVID-19 Pandemic: Multi-Professional National Survey.Only 135 characters allowed.

EvoStar

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

Pneumologie

Perception of the COVID-19 Pandemic among Pneumology Professionals in Germany

JMIR Medical Informatics

Standardized comparison of voice-based information and documentation systems to established systems in Intensive Care: A Cross-Sectional study.

JMIR Medical Informatics

Predicting abnormalities in laboratory values for patients in the intensive care unit using deep artificial neural networks

European Urology Focus

Impact of the COVID-19 Pandemic on Urologists in Germany

Anästhesiologie & Intensivmedizin

Artificial Intelligence and Machine Learning in Intensive Care Research and Clinical Application.

International Journal of Computational Intelligence Systems

A Novel Hybrid Methodology for Anomaly Detection in Time Series. International Journal of Computational Intelligence Systems

AINS

Artificial Intelligence: Challenges and Applications in Intensive Care

Der Anaesthesist

Was Ist Neu… Einsatz von Künstlicher Intelligenz in der Intensivmedizin.

JMIR Medical Informatics

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

MECO

A Machine Learning Approach for the Classification of Disease Risks in Time Series

MIPRO

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

IEEE SAMI

Incremental Parameter Estimation of Stochastic State-Based Models.

Big Data Analytics for Cyber-Physical Systems

Machine Learning in Future Intensive Care—Classification of Stochastic Petri Nets via Continuous-Time Markov Chains

GECCO

Evo-RL: Evolutionary-Driven Reinforcement Learning

GECCO

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

Neuigkeiten aus dem Clinomic AI Lab

Using Clinical Data and AI to reshape COPD – fractional dynamics deep learning models

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VentAI: The Future of Mechanical Ventilation for Critically Ill Patients

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New paper: Artificial intelligence and machine learning in intensive care research and clinical application

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Wir danken den Unterstützern unserer Forschungsarbeit

nvidia Inception Program
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