Surveys

[A survey on the application of convolutional neural networks in the diagnosis of occupational pneumoconiosis].

Pneumoconiosis ranks first among the newly-emerged occupational diseases reported annually in China,...

Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models.

OBJECTIVES: Leveraging artificial intelligence (AI) in conjunction with electronic health records (E...

Affiliation Bias in Peer Review of Abstracts.

Affiliation Bias in Peer Review of Abstracts-Reply.

Patient-Reported Outcomes for Robot-Assisted Laparoscopic Extravascular Renal Vein Stent Placements for Nutcracker Syndrome.

Nutcracker phenomenon is the compression of the left renal vein between the superior mesenteric art...

HyGAnno: hybrid graph neural network-based cell type annotation for single-cell ATAC sequencing data.

Reliable cell type annotations are crucial for investigating cellular heterogeneity in single-cell o...

A unified beamforming and source separation model for static and dynamic human-robot interaction.

This paper presents a unified model for combining beamforming and blind source separation (BSS). The...

Deep learning for acute rib fracture detection in CT data: a systematic review and meta-analysis.

OBJECTIVES: To review studies on deep learning (DL) models for classification, detection, and segmen...

A Survey of Recent Practice of Artificial Life in Visual Art.

Nowadays, interdisciplinary fields between Artificial Life, artificial intelligence, computational b...

An intentional approach to managing bias in general purpose embedding models.

Advances in machine learning for health care have brought concerns about bias from the research comm...

Application of Artificial Intelligence in Infant Movement Classification: A Reliability and Validity Study in Infants Who Were Full-Term and Preterm.

OBJECTIVE: Preterm infants are at high risk of neuromotor disorders. Recent advances in digital tech...

Semisupervised transfer learning for evaluation of model classification performance.

In many modern machine learning applications, changes in covariate distributions and difficulty in a...

Artificial intelligence, ChatGPT, and other large language models for social determinants of health: Current state and future directions.

This perspective highlights the importance of addressing social determinants of health (SDOH) in pat...

Current Applications of Artificial Intelligence for Pediatric Dentistry: A Systematic Review and Meta-Analysis.

To systematically evaluate artificial intelligence applications for diagnostic and treatment planni...

Skeletal facial asymmetry: reliability of manual and artificial intelligence-driven analysis.

OBJECTIVES: To compare artificial intelligence (AI)-driven web-based platform and manual measurement...

Large-scale genomic survey with deep learning-based method reveals strain-level phage specificity determinants.

BACKGROUND: Phage therapy, reemerging as a promising approach to counter antimicrobial-resistant inf...

Does Cohort Selection Affect Machine Learning from Clinical Data?

This study investigates cohort selection and its effects on the quality of machine learning (ML) mod...

Clinician Perceptions of Generative Artificial Intelligence Tools and Clinical Workflows: Potential Uses, Motivations for Adoption, and Sentiments on Impact.

Successful integration of Generative Artificial Intelligence (AI) into healthcare requires understan...

A Comparison of LLMs for Use in Generating Synthetic Test Data for Automated Testing of a Patient-Focused, Survey-Based System.

In the context of a patient-focused, survey-based system, we demonstrated the potential of generativ...

Toward Automated Detection of Biased Social Signals from the Content of Clinical Conversations.

Implicit bias can impede patient-provider interactions and lead to inequities in care. Raising aware...

Using Artificial Intelligence to Identify Effective Components of Computer-Assisted Cognitive Behavioural Therapy.

Although clinician-supported computer-assisted cognitive-behaviour therapy (CCBT) is well establishe...