Medicare

[Robot-assisted visceral surgery in Germany : Analysis of the current status and trends of the last 5 years using data from the StuDoQ|Robotics registry].

Robot-assisted systems have been increasingly used in general surgery for several years. Accordingly, the number of systems installed in Germany has also rapidly increased. While around 100 robot-assisted systems were used in German hospitals in 2018, this figure had already risen to more than 200 by 2022. The aim of this article is to present the current state of development and trends in robotic...

A deep-learning assisted bioluminescence tomography method to enable radiation targeting in rat glioblastoma.

. A novel solution is required for accurate 3D bioluminescence tomography (BLT) based glioblastoma (GBM) targeting. The provided solution should be computationally efficient to support real-time treatment planning, thus reducing the x-ray imaging dose imposed by high-resolution micro cone-beam CT.. A novel deep-learning approach is developed to enable BLT-based tumor targeting and treatment planni...

Prediction sets adaptive to unknown covariate shift.

Predicting sets of outcomes-instead of unique outcomes-is a promising solution to uncertainty quantification in statistical learning. Despite a rich l...

Automated Natural Language Processing-Based Supplier Discovery for Financial Services.

Public procurement is viewed as a major market force that can be used to promote innovation and drive small and medium-sized enterprises growth. In su...

Computed Tomography 2.0: New Detector Technology, AI, and Other Developments.

Computed tomography (CT) dramatically improved the capabilities of diagnostic and interventional radiology. Starting in the early 1970s, this imaging ...

Localizing in-domain adaptation of transformer-based biomedical language models.

In the era of digital healthcare, the huge volumes of textual information generated every day in hospitals constitute an essential but underused asset...

Sensor Topology Optimization in Dense IoT Environments by Applying Neural Network Configuration.

In dense IoT deployments of wireless sensor networks (WSNs), sensor placement, coverage, connectivity, and energy constraints determine the overall ne...

Lite-SeqCNN: A Light-Weight Deep CNN Architecture for Protein Function Prediction.

The short-and-long range interactions amongst amino-acids in a protein sequence are primarily responsible for the function performed by the protein. R...

Body height estimation from automated length measurements on standing long leg radiographs using artificial intelligence.

Artificial-intelligence (AI) allows large-scale analyses of long-leg-radiographs (LLRs). We used this technology to derive an update for the classical...

Fastcalculation in LDR brachytherapy using deep learning methods.

The Monte Carlo (MC) method provides a complete solution to the tissue heterogeneity effects in low-energy low-dose rate (LDR) brachytherapy. However,...

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Four-dimensional (4D) data-independent acquisition (DIA)-based proteomics is a promising technology. However, its full performance is restricted by th...

Parsable Clinical Trial Eligibility Criteria Representation Using Natural Language Processing.

Successful clinical trials offer better treatments to current or future patients and advance scientific research. Clinical trials define the target po...

Rapid viral metagenomics using SMART-9N amplification and nanopore sequencing.

Emerging and re-emerging viruses are a global health concern. Genome sequencing as an approach for monitoring circulating viruses is currently hampere...

Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning.

Gene mutation detection is usually carried out by molecular biological methods, which is expensive and has a long-time cycle. In contrast, pathologica...

Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models.

BACKGROUND: To advance new therapies into clinical care, clinical trials must recruit enough participants. Yet, many trials fail to do so, leading to ...

Effects of language mismatch in automatic forensic voice comparison using deep learning embeddings.

In forensic voice comparison, deep learning has become widely popular recently. It is mainly used to learn speaker representations, called embeddings ...

Bioinspired Liquid Crystalline Spinning Enables Scalable Fabrication of High-Performing Fibrous Artificial Muscles.

Leveraging liquid crystal elastomers (LCEs) to realize scalable fabrication of high-performing fibrous artificial muscles is of particular interest be...

Quantifying Inflammatory Response and Drug-Aided Resolution in an Atopic Dermatitis Model with Deep Learning.

Noninvasive quantification of dermal diseases aids efficacy studies and paves the way for broader enrollment in clinical studies across varied demogra...

Artificial Intelligence-Assisted Meta-Analysis of the Frequency of ACE I/D Polymorphisms in Centenarians and Other Long-Lived Individuals.

Current research on the angiotensin-converting-enzyme () gene has yielded controversial results on whether different polymorphisms are linked with hu...

Knowledge Guided Attention and Graph Convolutional Networks for Chemical-Disease Relation Extraction.

The automatic extraction of the chemical-disease relation (CDR) from the text becomes critical because it takes a lot of time and effort to extract va...