Surveys

Predicting treatment response using machine learning: A registered report.

OBJECTIVE: Previous research on psychotherapy treatment response has mainly focused on outpatients o...

Considering the Secondary Use of Clinical and Educational Data to Facilitate the Development of Artificial Intelligence Models.

Medical training programs and health care systems collect ever-increasing amounts of educational and...

Use of Artificial Intelligence to Improve the Calculation of Percent Adhesion for Transdermal and Topical Delivery Systems.

Adhesion is a critical quality attribute and performance characteristic for transdermal and topical ...

Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation.

Medical image segmentation is a fundamental and critical step in many image-guided clinical approach...

Deeply-Learned Generalized Linear Models with Missing Data.

Deep Learning (DL) methods have dramatically increased in popularity in recent years, with significa...

Real-time water quality prediction in water distribution networks using graph neural networks with sparse monitoring data.

Ensuring the safety and reliability of drinking water supply requires accurate prediction of water q...

Current Practices in Voice Data Collection and Limitations to Voice AI Research: A National Survey.

INTRODUCTION: Accuracy and validity of voice AI algorithms rely on substantial quality voice data. A...

Assessment of the bias of artificial intelligence generated images and large language models on their depiction of a surgeon.

Accommodating misclassification effects on optimizing dynamic treatment regimes with Q-learning.

Research on dynamic treatment regimes has enticed extensive interest. Many methods have been propose...

Validity of AI-Based Gait Analysis for Simultaneous Measurement of Bilateral Lower Limb Kinematics Using a Single Video Camera.

Accuracy validation of gait analysis using pose estimation with artificial intelligence (AI) remains...

Measurement and Mitigation of Bias in Artificial Intelligence: A Narrative Literature Review for Regulatory Science.

Artificial intelligence (AI) is increasingly being used in decision making across various industries...

Agreement and Reliability of Patient-measured Postvoid Residual Bladder Volumes.

OBJECTIVE: To assess the reliability, agreement with provider measurement, and patient preferences r...

Computer vision-based plants phenotyping: A comprehensive survey.

The increasing demand for food production due to the growing population is raising the need for more...

Methods for using Bing's AI-powered search engine for data extraction for a systematic review.

Data extraction is a time-consuming and resource-intensive task in the systematic review process. Na...

Generating bulk RNA-Seq gene expression data based on generative deep learning models and utilizing it for data augmentation.

Large-scale high-throughput transcriptome sequencing data holds significant value in biomedical rese...

AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review.

OBJECTIVE: Human error estimating food intake is a major source of bias in nutrition research. Artif...

Accurate COP Trajectory Estimation in Healthy and Pathological Gait Using Multimodal Instrumented Insoles and Deep Learning Models.

Measuring center-of-pressure (COP) trajectories in out-of-the-lab environments may provide valuable ...

Automatic Gaze Analysis: A Survey of Deep Learning Based Approaches.

Eye gaze analysis is an important research problem in the field of Computer Vision and Human-Compute...

An in-depth survey on Deep Learning-based Motor Imagery Electroencephalogram (EEG) classification.

Electroencephalogram (EEG)-based Brain-Computer Interfaces (BCIs) build a communication path between...

Manual versus deep learning measurements to evaluate cumulus expansion of bovine oocytes and its relationship with embryo development in vitro.

Cumulus expansion is an important indicator of oocyte maturation and has been suggested to be indica...

Assessing Decision Regret in Patients with Same-Day Discharge Pathway After Robot-Assisted Radical Prostatectomy.

After the introduction of same-day discharge (SDD) pathways for various surgeries, these pathways h...