AIMC Topic: Germany
Clear Filters Showing 91 to 100 of 231 articles
Views on Using Social Robots in Professional Caregiving: Content Analysis of a Scenario Method Workshop.
Journal of medical Internet research
Nov 10, 2021
BACKGROUND: Interest in digital technologies in the health care sector is growing and can be a way to reduce the burden on professional caregivers while helping people to become more independent. Social robots are regarded as a special form of techno...
OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany.
PLoS computational biology
Oct 25, 2021
Mathematical models in epidemiology are an indispensable tool to determine the dynamics and important characteristics of infectious diseases. Apart from their scientific merit, these models are often used to inform political decisions and interventio...
Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study.
The Lancet. Digital health
Oct 20, 2021
BACKGROUND: Gadolinium-based contrast agents (GBCAs) are widely used to enhance tissue contrast during MRI scans and play a crucial role in the management of patients with cancer. However, studies have shown gadolinium deposition in the brain after r...
Radiology
Feasibility Studies
Prognosis
Tumor Burden
Retrospective Studies
Brain Neoplasms
Middle Aged
Neoplasms
Disease Progression
Deep Learning
Germany
Humans
Neural Networks, Computer
Gadolinium
Contrast Media
Algorithms
Diffusion Magnetic Resonance Imaging
Magnetic Resonance Imaging
Brain
Glioblastoma
[Digitization of the healthcare system: the BfArM's contribution to the development of potential].
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Sep 15, 2021
Digitalization is a clear megatrend of our time, also in the health sector, which is currently experiencing enormous acceleration due to the COVID-19 pandemic in addition to paving the way due to changes in the legal framework. Looking to the future,...
Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study.
The Lancet. Digital health
Aug 17, 2021
BACKGROUND: Response to immunotherapy in gastric cancer is associated with microsatellite instability (or mismatch repair deficiency) and Epstein-Barr virus (EBV) positivity. We therefore aimed to develop and validate deep learning-based classifiers ...
Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort.
Critical care (London, England)
Aug 17, 2021
BACKGROUND: Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, risk stratification and prediction of SARS-CoV-2 patient clinical outcomes upon ICU admission remain inadequate. This study aimed to develop a machine le...
Digitalization of waste management: Insights from German private and public waste management firms.
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Jun 30, 2021
Policymakers, practitioners, and scholars have long-lauded digital technologies, such as smart waste containers or artificial intelligence for material recognition and robotic automation, as key enablers to more effective and efficient waste manageme...
[DeRAS I-German situation of robotic-assisted surgery-an online survey].
Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen
Jun 25, 2021
BACKGROUND: Robotic assistance has become established in surgery but is not yet a standard procedure. The current status of clinical dissemination in Germany remains unclear. Industry independent sources are scarce.
Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification.
European journal of cancer (Oxford, England : 1990)
Apr 7, 2021
BACKGROUND: Clinicians and pathologists traditionally use patient data in addition to clinical examination to support their diagnoses.
Predicting innovative firms using web mining and deep learning.
PloS one
Apr 1, 2021
Evidence-based STI (science, technology, and innovation) policy making requires accurate indicators of innovation in order to promote economic growth. However, traditional indicators from patents and questionnaire-based surveys often lack coverage, g...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31037
- Neural Networks, Computer 29719
- Algorithms 26832
- Deep Learning 26346
- Artificial Intelligence 24295
- Robotics 13311
- Image Processing, Computer-Assisted 9521
- Retrospective Studies 9111
- Magnetic Resonance Imaging 6181
- Reproducibility of Results 5592
- Tomography, X-Ray Computed 4771
- Support Vector Machine 4686
- Computational Biology 4237
- Brain 4050
- Computer Simulation 3881
Recent Journals
- Scientific reports 5949
- Sensors (Basel, Switzerland) 4794
- PloS one 4015
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1859
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1130
- Journal of chemical information and modeling 998
- Nature communications 944
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 826