Medicare

Fastcalculation in LDR brachytherapy using deep learning methods.

The Monte Carlo (MC) method provides a complete solution to the tissue heterogeneity effects in low-...

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Four-dimensional (4D) data-independent acquisition (DIA)-based proteomics is a promising technology....

Parsable Clinical Trial Eligibility Criteria Representation Using Natural Language Processing.

Successful clinical trials offer better treatments to current or future patients and advance scienti...

The long path ahead of robotics in psychiatry.

A long distance telesurgical demonstration on robotic surgery phantoms over 5G.

PURPOSE: Using robotic technology and communications infrastructure to remotely perform surgery has ...

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 m...

Identifying fetal status with fetal heart rate: Deep learning approach based on long convolution.

CTG (Cardiotocography) is an effective tool for fetal status assessment. Clinically, doctors mainly ...

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 partici...

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...

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 fibro...

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 en...

Deep learning-based prediction of intra-cardiac blood flow in long-axis cine magnetic resonance imaging.

PURPOSE: We aimed to design and evaluate a deep learning-based method to automatically predict the t...

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 w...

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 becau...

Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order Feature Extraction and a Deep Neural Network Algorithm.

Identification of the DNA-binding protein (DBP) helps dig out information embedded in the DNA-protei...

Deep learning based diagnostic quality assessment of choroidal OCT features with expert-evaluated explainability.

Various vision-threatening eye diseases including age-related macular degeneration (AMD) and central...

Camera Arrangement Optimization for Workspace Monitoring in Human-Robot Collaboration.

Human-robot interaction is becoming an integral part of practice. There is a greater emphasis on saf...

Robot-assisted laparoscopic ileal ureter replacement with extracorporeal ileal segment preparation for long ureteral strictures: a case series.

BACKGROUND: Complete intracorporal robotic ileal ureteric replacement is challenging. We aimed to pr...

Symphonizing pileup and full-alignment for deep learning-based long-read variant calling.

Deep learning-based variant callers are becoming the standard and have achieved superior single nucl...

End-to-End One-Shot Path-Planning Algorithm for an Autonomous Vehicle Based on a Convolutional Neural Network Considering Traversability Cost.

Path planning plays an important role in navigation and motion planning for robotics and automated d...

Long-distance dependency combined multi-hop graph neural networks for protein-protein interactions prediction.

BACKGROUND: Protein-protein interactions are widespread in biological systems and play an important ...