AIMC Topic: Germany

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The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data Science.

Scientific data Jan 12, 2023
Laparoscopy is an imaging technique that enables minimally-invasive procedures in various medical disciplines including abdominal surgery, gynaecology and urology. To date, publicly available laparoscopic image datasets are mostly limited to general ...
Artificial Intelligence Algorithms Abdomen Germany Tomography, X-Ray Computed Data Science
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[Validation and implementation of artificial intelligence in radiology : Quo vadis in 2022?].

Radiologie (Heidelberg, Germany) Dec 12, 2022
BACKGROUND: The hype around artificial intelligence (AI) in radiology continues and the number of approved AI tools is growing steadily. Despite the great potential, integration into clinical routine in radiology remains limited. In addition, the lar...
Radiology Germany Databases, Factual Artificial Intelligence Radiography
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[Artificial intelligence in the diagnosis of rare disorders: the development of phenotype analysis].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Oct 24, 2022
Rare diseases can often be diagnosed by carefully assessing the phenotype of the patient, as characteristic deviations (dysmorphisms) occur in many genetic diseases. These affect, for example, the features of the face - the "facial gestalt."This pape...
Humans Neural Networks, Computer Germany Rare Diseases Artificial Intelligence Phenotype
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Predicting mortality in the very old: a machine learning analysis on claims data.

Scientific reports Oct 19, 2022
Machine learning (ML) may be used to predict mortality. We used claims data from one large German insurer to develop and test differently complex ML prediction models, comparing them for their (balanced) accuracy, but also the importance of different...
Germany Machine Learning Logistic Models Humans
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Automated multilabel diagnosis on electrocardiographic images and signals.

Nature communications Mar 24, 2022
The application of artificial intelligence (AI) for automated diagnosis of electrocardiograms (ECGs) can improve care in remote settings but is limited by the reliance on infrequently available signal-based data. We report the development of a multil...
Electrocardiography Neural Networks, Computer Germany Artificial Intelligence Brazil
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Combining graph neural networks and spatio-temporal disease models to improve the prediction of weekly COVID-19 cases in Germany.

Scientific reports Mar 10, 2022
During 2020, the infection rate of COVID-19 has been investigated by many scholars from different research fields. In this context, reliable and interpretable forecasts of disease incidents are a vital tool for policymakers to manage healthcare resou...
Germany Epidemiological Models Spatio-Temporal Analysis Adolescent Middle Aged Female Young Adult Adult Male Machine Learning COVID-19 Humans Neural Networks, Computer
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Deep learning shows declining groundwater levels in Germany until 2100 due to climate change.

Nature communications Mar 9, 2022
In this study we investigate how climate change will directly influence the groundwater resources in Germany during the 21 century. We apply a machine learning groundwater level prediction approach based on convolutional neural networks to 118 sites ...
Climate Change Germany Deep Learning Groundwater
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Robotic-assisted Versus Laparoscopic Radical Prostatectomy: 12-month Outcomes of the Multicentre Randomised Controlled LAP-01 Trial.

European urology focus Feb 23, 2022
BACKGROUND: Recently, our LAP-01 trial demonstrated superiority of robotic-assisted laparoscopic radical prostatectomy (RARP) over conventional laparoscopic radical prostatectomy (LRP) with respect to continence at 3 mo.
Germany Robotics Humans Robotic Surgical Procedures
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[The analysis of CIRSmedical.de using Natural Language Processing].

Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen Feb 17, 2022
BACKGROUND: CIRSmedical.de is a publicly accessible, cross-institutional reporting and learning system, which is organized by the German Agency for Quality in Medicine (ÄZQ). CIRSmedical.de has existed since 2005 and has published more than 6,000 eve...
Attitude Humans Natural Language Processing Artificial Intelligence Germany Language
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Deep learning for prediction of population health costs.

BMC medical informatics and decision making Feb 3, 2022
BACKGROUND: Accurate prediction of healthcare costs is important for optimally managing health costs. However, methods leveraging the medical richness from data such as health insurance claims or electronic health records are missing.
Humans Insurance Claim Review Population Health Health Care Costs Neural Networks, Computer Germany Deep Learning
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