Surveys

Radiologist's Guide to Evaluating Publications of Clinical Research on AI: How We Do It.

Literacy in research studies of artificial intelligence (AI) has become an important skill for radio...

A survey on practitioners' attitudes toward artificial intelligence in radiology.

Visualization design of health detection products based on human-computer interaction experience in intelligent decision support systems.

In order to meet the needs of the human-computer interaction experience of health testing products a...

Quantifying Uncertainty in Deep Learning of Radiologic Images.

In recent years, deep learning (DL) has shown impressive performance in radiologic image analysis. H...

Image-guided prostate biopsy robots: A review.

At present, the incidence of prostate cancer (PCa) in men is increasing year by year. So, the early ...

A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data.

Understanding the structural and functional mechanisms of the brain is challenging for mood and ment...

Making decisions: Bias in artificial intelligence and data‑driven diagnostic tools.

BACKGROUND: Although numerous studies have shown the potential of artificial intelligence (AI) syste...

Data Quality Estimation Via Model Performance: Machine Learning as a Validation Tool.

In our recent study, the attempt to classify neurosurgical operative reports into routinely used exp...

Results of the European Society of Toxicologic Pathology Survey on the Use of Artificial Intelligence in Toxicologic Pathology.

The European Society of Toxicologic Pathology (ESTP) initiated a survey through its Pathology 2.0 wo...

Validation of wastewater data using artificial intelligence tools and the evaluation of their performance regarding annotator agreement.

To prevent the pollution of water resources, the measurement and the limitation of wastewater discha...

Artificial Intelligence Bias and Ethics in Retinal Imaging.

Association of Biomarker-Based Artificial Intelligence With Risk of Racial Bias in Retinal Images.

IMPORTANCE: Although race is a social construct, it is associated with variations in skin and retina...

Fairness in Artificial Intelligence: Regulatory Sanbox Evaluation of Bias Prevention for ECG Classification.

As the use of artificial intelligence within healthcare is on the rise, an increased attention has b...

Domain Knowledge-Driven Generation of Synthetic Healthcare Data.

Healthcare longitudinal data collected around patients' life cycles, today offer a multitude of oppo...

Health-Related Content in Transformer-Based Language Models: Exploring Bias in Domain General vs. Domain Specific Training Sets.

In this communication, we demonstrate that the bias observed in domain general training sets with he...

Measures of socioeconomic advantage are not independent predictors of support for healthcare AI: subgroup analysis of a national Australian survey.

Applications of artificial intelligence (AI) have the potential to improve aspects of healthcare. H...

A Nationwide Web-Based Survey of Neuroradiologists' Perceptions of Artificial Intelligence Software for Neuro-Applications in Korea.

OBJECTIVE: We aimed to investigate current expectations and clinical adoption of artificial intellig...

Bias and Epistemic Injustice in Conversational AI.

Translating AI to Clinical Practice: Overcoming Data Shift with Explainability.

To translate artificial intelligence (AI) algorithms into clinical practice requires generalizabilit...

Survey of semi-tensor product method in robustness analysis on finite systems.

Recently, the theory of semi-tensor product (STP) method of matrices has received much attention fro...

SGPPI: structure-aware prediction of protein-protein interactions in rigorous conditions with graph convolutional network.

While deep learning (DL)-based models have emerged as powerful approaches to predict protein-protein...