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Surveys

Latest AI and machine learning research in surveys for healthcare professionals.

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Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables.

BACKGROUND: Systematic disparities in data collection within electronic health records (EHRs), defin...

The General Attitudes towards Artificial Intelligence Scale (GAAIS): validation and psychometric properties analysis in the Italian context.

This two-study investigation aimed to assess the psychometric properties of the Italian version of t...

Development and evaluation of an automated classification and counting system for rice planthoppers captured on survey boards.

Rice planthoppers are the most economically important insect pests of rice in Asia. Traditional surv...

Comparison of AI chatbot predicted and realworld survival outcomes in hepatocellular carcinoma.

This study compares survival predictions made by an artificial intelligence (AI) based chatbot with ...

Beyond accuracy: a framework for evaluating algorithmic bias and performance, applied to automated sleep scoring.

Recent advancements in artificial intelligence (AI) have significantly improved sleep-scoring algori...

Mitigating data bias and ensuring reliable evaluation of AI models with shortcut hull learning.

Shortcut learning poses a significant challenge to both the interpretability and robustness of artif...

EmoTrans attention based emotion recognition using EEG signals and facial analysis with expert validation.

Emotion recognition via EEG signals and facial analysis becomes one of the key aspects of human-comp...

AI-based routing algorithms improve energy efficiency, latency, and data reliability in wireless sensor networks.

This paper proposes a modular Artificial Intelligence (AI)-based routing framework for Wireless Sens...

Comparing ChatGPT and validated questionnaires in assessing loneliness and online social support among college students: a cross-sectional study.

The capability of ChatGPT to understand and generate human-readable text has prompted the investigat...

Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation.

BACKGROUND: Evidence-based medicine combines scientific research, clinical expertise, and patient pr...

Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles.

Once deployed, medical image analysis methods are often faced with unexpected image corruptions and ...

Understanding the Impact of Seasonal Weather Dynamics on Rice Disease Occurrence Using Neural Networks: A Case Study of Panicle Blast and Grain Rot.

Panicle blast (PB) and grain rot (GR) are two major rice diseases that directly affect panicles and ...

Broadscale reconnaissance of coral reefs from citizen science and deep learning.

Coral reef managers require various forms of data. While monitoring is typically the preserve of sci...

Increasing Rigour in Online Health Surveys Through the Reduction of Fraudulent Data.

Online surveys have become a key tool of modern health research, offering a fast, cost-effective, an...

The class imbalance problem in automatic localization of the epileptogenic zone for epilepsy surgery: a systematic review.

Accurate localization of the epileptogenic zone (EZ) is crucial for epilepsy surgery, but the class ...

Accuracy and Reliability of Artificial Intelligence Chatbots as Public Information Sources in Implant Dentistry.

PURPOSE: The purpose of this study was to evaluate the accuracy, completeness, comprehensibility and...

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