Identifying and Reporting Dependent Adult abuse

CylinGCN: Cylindrical structures segmentation in 3D biomedical optical imaging by a contour-based graph convolutional network.

Cylindrical organs, e.g., blood vessels, airways, and intestines, are ubiquitous structures in biome...

SLAPP: Subgraph-level attention-based performance prediction for deep learning models.

The intricacy of the Deep Learning (DL) landscape, brimming with a variety of models, applications, ...

Clinical Applications, Methodology, and Scientific Reporting of Electrocardiogram Deep-Learning Models: A Systematic Review.

BACKGROUND: The electrocardiogram (ECG) is one of the most common diagnostic tools available to asse...

Image based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimization.

In the past decade, there has been a sharp increase in publications describing applications of convo...

Content framing role on public sentiment formation for pre-crisis detection on sensitive issue via sentiment analysis and content analysis.

Social media has been tremendously used worldwide for a variety of purposes. Therefore, engagement a...

Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis.

BACKGROUND: Lyme disease is among the most reported tick-borne diseases worldwide, making it a major...

Deep Learning-Based Automated Labeling of Coronary Segments for Structured Reporting of Coronary Computed Tomography Angiography in Accordance With Society of Cardiovascular Computed Tomography Guidelines.

PURPOSE: To evaluate a novel deep learning (DL)-based automated coronary labeling approach for struc...

Multi-Label Classification With Dual Tail-Node Augmentation for Drug Repositioning.

Due to the lengthy and costly process of new drug discovery, increasing attention has been paid to d...

From data to insights: how natural language processing and structured reporting advance data-driven radiology.

STTRE: A Spatio-Temporal Transformer with Relative Embeddings for multivariate time series forecasting.

The prevalence of multivariate time series data across several disciplines fosters a demand and, sub...

An Interventional Radiologist's Primer of Critical Appraisal of Artificial Intelligence Research.

Recent advances in artificial intelligence (AI) are expected to cause a significant paradigm shift i...

Deep Learning Empowers the Discovery of Self-Assembling Peptides with Over 10 Trillion Sequences.

Self-assembling of peptides is essential for a variety of biological and medical applications. Howev...

Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM.

OBJECTIVE: To evaluate the usage of a well-known and widely adopted checklist, Checklist for Artific...

Deep Learning Technology to Recognize American Sign Language Alphabet.

Historically, individuals with hearing impairments have faced neglect, lacking the necessary tools t...

Detailed reporting of clinical and pathological parameters, and comprehensive depiction of complication-intervention events and grading is required to ensure comparability of survival and morbidity outcomes.

Ultrastretchable and highly conductive hydrogels based on Fe- lignin nanoparticles for subzero wearable strain sensor.

Conductive hydrogels have attracted considerable interest for potential applications in soft robotic...

Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Modeling Studies: Development and Validation.

BACKGROUND: The reporting of machine learning (ML) prognostic and diagnostic modeling studies is oft...

Artificial intelligence for dementia research methods optimization.

Artificial intelligence (AI) and machine learning (ML) approaches are increasingly being used in dem...

PEPNet: A barotropic primitive equations-based network for wind speed prediction.

In wind speed prediction technologies, deep learning-based methods have achieved promising advantage...

Controversies surrounding AI-based reporting systems in echocardiography.

Investigating the impact of structured reporting on the linguistic standardization of radiology reports through natural language processing over a 10-year period.

OBJECTIVES: To investigate how a transition from free text to structured reporting affects reporting...