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Surveys

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

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Deep neural networks excel in COVID-19 disease severity prediction-a meta-regression analysis.

COVID-19 is a disease in which early prognosis of severity is critical for desired patient outcomes ...

Hybrid CNN and random forest model with late fusion for detection of autism spectrum disorder in Toddlers.

Accurate and early diagnosis of Autism Spectrum Disorder (ASD) in toddlers is crucial for effective ...

Psychometric properties and Turkish adaptation of the artificial intelligence attitude scale (AIAS-4): evidence for construct validity.

Artificial intelligence (AI) attitude scales can be used to better evaluate the benefit and drawback...

Artificial Intelligence and Qualitative Analysis of Emergency Department Telemental Health Care Implementation Survey.

: Implementation of telemental health care in emergency departments (EDs) in the United States (U.S....

Machine learning for predictive mapping of exceedance probabilities for potentially toxic elements in Czech farmland.

For efficient decision-making and optimal land management trajectories, information on soil properti...

Critical scenarios adversarial generation method for intelligent vehicles testing based on hierarchical reinforcement architecture.

The widespread deployment of intelligent vehicles necessitates comprehensive testing across diverse ...

Pharmacy faculty and students perceptions of artificial intelligence: A National Survey.

INTRODUCTION: This study explores the perceptions, familiarity, and utilization of artificial intell...

CLIP in medical imaging: A survey.

Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training paradigm, succes...

Building a Gender-Bias-Resistant Super Corpus as a Deep Learning Baseline for Speech Emotion Recognition.

The focus on Speech Emotion Recognition has dramatically increased in recent years, driven by the ne...

Fusing Wearable Biosensors with Artificial Intelligence for Mental Health Monitoring: A Systematic Review.

The development of digital instruments for mental health monitoring using biosensor data from wearab...

Trust and Acceptance Challenges in the Adoption of AI Applications in Health Care: Quantitative Survey Analysis.

BACKGROUND: Artificial intelligence (AI) has potential to transform health care, but its successful ...

Evaluation of artificial intelligence robot's knowledge and reliability on dental implants and peri-implant phenotype.

The aim of this study was to evaluate the reliability and quality of information generated by ChatGP...

Volume-based complete automation for ultrasound fetal biometry: A pilot approach to assess feasibility, reliability, and perspectives.

BACKGROUND: Detection algorithms targeting anatomic landmarks in three-dimensional (3D) ultrasound (...

A comprehensive survey and comparative analysis of time series data augmentation in medical wearable computing.

Recent advancements in hardware technology have spurred a surge in the popularity and ubiquity of we...

ActBeCalf: Accelerometer-based multivariate time-series dataset for calf behavior classification.

Getting new insights on pre-weaned calf behavioral adaptation to routine challenges (transport, grou...

Evaluating AI-based breastfeeding chatbots: quality, readability, and reliability analysis.

BACKGROUND: In recent years, expectant and breastfeeding mothers commonly use various breastfeeding-...

Optimized attention-enhanced U-Net for autism detection and region localization in MRI.

Autism spectrum disorder (ASD) is a neurodevelopmental condition that affects a child's cognitive an...

Technical and regulatory challenges in artificial intelligence-based pulse oximetry: a proposed development pipeline.

Pulse oximetry, although generally effective under ideal conditions, faces challenges in accurately ...

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