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Surveys

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

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Artificial Intelligence Chatbots as Sources of Implant Dentistry Information for the Public: Validity and Reliability Assessment.

This study assessed the reliability and validity of responses from three chatbot systems-OpenAI's GP...

Assessing the Accuracy and Reliability of Large Language Models in Psychiatry Using Standardized Multiple-Choice Questions: Cross-Sectional Study.

BACKGROUND: Large language models (LLMs), such as OpenAI's GPT-3.5, GPT-4, and GPT-4o, have garnered...

An Australasian survey on the use of ChatGPT and other large language models in medical physics.

This study surveyed medical physicists in Australia and New Zealand on their use of large language m...

AI-driven healthcare: Fairness in AI healthcare: A survey.

Artificial intelligence (AI) is rapidly advancing in healthcare, enhancing the efficiency and effect...

Artificial intelligence for clinical reasoning: the reliability challenge and path to evidence-based practice.

The integration of generative artificial intelligence (AI), particularly large language models (LLMs...

Tiny Machine Learning and On-Device Inference: A Survey of Applications, Challenges, and Future Directions.

The growth in artificial intelligence and its applications has led to increased data processing and ...

Machine Learning-Based Calibration and Performance Evaluation of Low-Cost Internet of Things Air Quality Sensors.

Low-cost air quality sensors (LCSs) are increasingly being used in environmental monitoring due to t...

The impact of artificial intelligence usage on employee moonlighting intention: A moderated mediation model.

BackgroundAlthough occupational change is becoming commonplace for contemporary employees, it remain...

Feasibility study of a general model for synthetic CT generation in MRI-guided extracranial radiotherapy.

This study aims to investigate the feasibility of a single general model to synthesize CT images acr...

Ethical framework for responsible foundational models in medical imaging.

The emergence of foundational models represents a paradigm shift in medical imaging, offering extrao...

Alzheimer's diagnosis by an efficient pipelined gene selection model based on statistical and biological data analysis.

Diagnosing Alzheimer's disease based on gene expression data extracted from microarrays is still an ...

Machine Learning for Predicting the Transition From Gestational Diabetes to Type 2 Diabetes: A Systematic Review.

Gestational diabetes mellitus (GDM) significantly increases the risk of developing type 2 diabetes (...

Advancements in Hematologic Malignancy Detection: A Comprehensive Survey of Methodologies and Emerging Trends.

The investigation and diagnosis of hematologic malignancy using blood cell image analysis are major ...

AS-TBR: An Intrusion Detection Model for Smart Grid Advanced Metering Infrastructure.

Advanced Metering Infrastructure (AMI), as a critical data collection and communication hub within t...

SFPGCL: Specificity-preserving federated population graph contrastive learning for multi-site ASD identification using rs-fMRI data.

Autism spectrum disorder (ASD) is a severe neurodevelopmental disorder that affects people's social ...

Artificial Intelligence and Data Science Methods for Automatic Detection of White Blood Cells in Images.

Data scieQuerynce (DS) methods and artificial intelligence (AI) are critical in today's healthcare s...

Accuracy and Reliability of Multimodal Imaging in Diagnosing Knee Sports Injuries.

BACKGROUND: Due to differences in subjective experience and professional level among doctors, as wel...

Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and Challenges.

Federated learning (FL) offers innovative solutions for privacy-preserving distributed machine learn...

Estimation of patient safety culture in private and public hospitals using machine learning methods.

BackgroundPatient safety is a critical component of health care systems. Large groups of patients, a...

Benchmarking Medical Information Services Beyond the Unsolicited Requests: A phactMI Benchmarking Survey.

OBJECTIVE: Medical Information has a strategic role that extends beyond inquiry management. The Phar...

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