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Surveys

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

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Human Reviewers' Ability to Differentiate Human-Authored or Artificial Intelligence-Generated Medical Manuscripts: A Randomized Survey Study.

OBJECTIVE: To assess the ability of humans to differentiate human-authored vs artificial intelligenc...

Uncovering key sources of regional ozone simulation biases using machine learning and SHAP analysis.

Atmospheric chemical transport models (CTMs) are widely used in air quality management, but still ha...

Effectiveness of Generative Artificial Intelligence-Driven Responses to Patient Concerns in Long-Term Opioid Therapy: Cross-Model Assessment.

While long-term opioid therapy is a widely utilized strategy for managing chronic pain, many patien...

Cognitive biases in forensic psychiatry: A scoping review.

Forensic psychiatry plays a critical role in legal contexts but is highly susceptible to cognitive b...

Machine learning classifier solving the problem of sleep stage imbalance between overnight sleep.

Feature extraction follows the American Academy of Sleep Medicine (AASM) sleep score manually and ap...

Strategies for mitigating data heterogeneities in AI-based neuro-disease detection.

In this NeuroView, we discuss challenges and best practices when dealing with disease-detection AI m...

Reliability and validity of a novel single-lead portable electrocardiogram device for pregnant women: a comparative study.

BACKGROUND: WenXinWuYang, a novel portable Artificial Intelligence Electrocardiogram (AI-ECG) device...

SeizyML: An Application for Semi-Automated Seizure Detection Using Interpretable Machine Learning Models.

Despite the vast number of publications reporting seizures and the reliance of the field on accurate...

Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges.

This paper presents a comprehensive systematic review of generative models (GANs, VAEs, DMs, and LLM...

Deep Reinforcement Learning in Human Activity Recognition: A Survey and Outlook.

Human activity recognition (HAR) is a popular research field in computer vision that has already bee...

A Survey of Robotic Monocular Pose Estimation.

Robotic monocular pose estimation is an important part of neural monocular pose estimation-driven me...

Integrating language into medical visual recognition and reasoning: A survey.

Vision-Language Models (VLMs) are regarded as efficient paradigms that build a bridge between visual...

Future Use of AI in Diagnostic Medicine: 2-Wave Cross-Sectional Survey Study.

BACKGROUND: The rapid evolution of artificial intelligence (AI) presents transformative potential fo...

Development and validation of a machine learning approach for screening new leprosy cases based on the leprosy suspicion questionnaire.

Leprosy is a dermatoneurological disease and can cause irreversible nerve damage. In addition to bei...

Prioritisation of functional needs for ICU intelligent robots in China: a consensus study based on the national survey and nominal group technique.

OBJECTIVE: This study aims to define the prioritisation of the needs for an intelligent robot's func...

Artificial Intelligence Algorithms, Bias, and Innovation: Implications for Social Work.

PURPOSE: Artificial Intelligence (AI) technologies are rapidly expanding across diverse contexts. As...

Quality assurance and validity of AI-generated single best answer questions.

BACKGROUND: Recent advancements in generative artificial intelligence (AI) have opened new avenues i...

End-User Confidence in Artificial Intelligence-Based Predictions Applied to Biomedical Data.

Applications of Artificial Intelligence (AI) are revolutionizing biomedical research and healthcare ...

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