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Surveys

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

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Incorporating Artificial Intelligence into Fracture Risk Assessment: Using Clinical Imaging to Predict the Unpredictable.

Artificial intelligence (AI) is increasingly being explored as a complementary tool to traditional f...

Prescreening depression using wearable electrocardiogram and photoplethysmogram data from a psycholinguistic experiment.

Depression is a prevalent mental health disorder that significantly impacts well-being and qual...

Understanding Clinician Perceptions of GenAI: A Mixed Methods Analysis of Clinical Documentation Tasks.

This mixed-methods study evaluated clinicians' user experience (UX) with Generative AI (GenAI) in El...

MLDAAPP: Machine Learning Data Acquisition for Assessing Population Phenotypes.

Collecting phenotypic data from many individuals is critical to answering fundamental biological que...

Out-Of-Distribution Generalization on Graphs: A Survey.

Graph machine learning has been extensively studied in both academia and industry. Although booming ...

Deep Learning-Based Point Cloud Compression: An In-Depth Survey and Benchmark.

With the maturity of 3D capture technology, the explosive growth of point cloud data has burdened th...

Semi-Supervised Risk Control via Prediction-Powered Inference.

The risk-controlling prediction sets (RCPS) framework is a general tool for transforming the output ...

Assessment of Patient Safety Culture Among Citizens: A Survey Study.

OBJECTIVES: Public engagement in quality and safety improvement is crucial in health care. To have a...

Beyond Presumptions: Toward Mechanistic Clarity in Metal-Free Carbon Catalysts for Electrochemical HO Production via Data Science.

Electrochemical synthesis of hydrogen peroxide (HO) via the two-electron oxygen reduction reaction (...

AI-Guided Decision Support in Acute Cardiac Care: From Chest Pain to STEMI.

Artificial intelligence (AI) is rapidly transforming the landscape of acute cardiac care, offering n...

Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data.

Accurate rainfall forecasting is vital for managing water resources, preventing floods, supporting a...

Nurses perceptions and use of artificial intelligence in healthcare.

The integration of artificial intelligence (AI) in nursing care is an important professional issue. ...

Predictive modeling of oil rate for wells under gas lift using machine learning.

Optimizing oil production in wells employing gas lift systems is a critical challenge due to the com...

AI-AI bias: Large language models favor communications generated by large language models.

Are large language models (LLMs) biased in favor of communications produced by LLMs, leading to poss...

Attractor dynamics of working memory explain a concurrent evolution of stimulus-specific and decision-consistent biases in visual estimation.

Sensory evidence tends to be fleeting, often unavailable when we categorize or estimate world featur...

Survey on the perceptions of Asian endoscopists to artificial intelligence.

BACKGROUND: Recent studies have demonstrated the potential of artificial intelligence (AI) in diagno...

Dentists' perception and use of AI and robotics in the care of persons with disabilities.

Despite the growing role of AI and robotics in healthcare, little is known about their integration i...

Cognitive link adaptation via modulation scheme classification in narrowband networks under AWGN and SUI channel conditions.

The demand for faster data transfer rates rises along with the number of mobile devices, such as sma...

Exploring Gender Bias in AI for Personalized Medicine: Focus Group Study With Trans Community Members.

BACKGROUND: This paper explores the perception and application of artificial intelligence (AI) for p...

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