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

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Reducing bias in source-free unsupervised domain adaptation for regression.

Due to data privacy and storage concerns, Source-Free Unsupervised Domain Adaptation (SFUDA) focuses...

CPJN: News recommendation with a content and popularity joint network.

Users may click on a news because they are interested in its content or because the news contains im...

Using artificial intelligence to semi-automate trustworthiness assessment of randomized controlled trials: a case study.

BACKGROUND AND OBJECTIVE: Randomized controlled trials (RCTs) are the cornerstone of evidence-based ...

ChatGPT and oral cancer: a study on informational reliability.

BACKGROUND: Artificial intelligence (AI) and large language models (LLMs) like ChatGPT have transfor...

Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach.

BACKGROUND: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) i...

Artificial intelligence applied to 'omics data in liver disease: towards a personalised approach for diagnosis, prognosis and treatment.

Advancements in omics technologies and artificial intelligence (AI) methodologies are fuelling our p...

Development and validation of an automated machine for self-injury assessment via young Koreans' natural writings.

Self-injury is common in all countries, and 20% of South Korean youths experience self-injury. One o...

A machine learning-based analysis for the effectiveness of online teaching and learning in Pakistan during COVID-19 lockdown.

BackgroundThe COVID-19 pandemic has significantly disrupted daily life and education, prompting inst...

A Comprehensive Analysis of a Social Intelligence Dataset and Response Tendencies Between Large Language Models (LLMs) and Humans.

In recent years, advancements in the interaction and collaboration between humans and have garnered ...

A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications.

There is growing interest in using deep learning models to automate wildlife detection in aerial ima...

Dorsoventral comparison of intraspecific variation in the butterfly wing pattern using a convolutional neural network.

Butterfly wing patterns exhibit notable differences between the dorsal and ventral surfaces, and mor...

Optimizing automated photo identification for population assessments.

Several legal acts mandate that management agencies regularly assess biological populations. For spe...

Exploring the Potential of AI-Assisted Technology in Joint Range-of-Motion Measurements: A Reliability Study.

: Measuring joint range of motion (ROM) is essential for diagnosing and treating musculoskeletal dis...

Assessing ChatGPT's accuracy and reliability in asthma general knowledge: implications for artificial intelligence use in public health education.

BACKGROUND: Integrating Artificial Intelligence (AI) into public health education represents a pivot...

Systematic Review and Meta-Analysis on the Accuracy of Artificial Intelligence Algorithms in Individuals Gender Detection Using Orthopantomograms.

The integration of artificial intelligence (AI) into dental imaging has led to significant advanceme...

Artificial Intelligence in Radiology: A Leadership Survey.

PURPOSE: Surveys to assess views about artificial intelligence (AI) of various diagnostic radiology ...

TinyML and edge intelligence applications in cardiovascular disease: A survey.

Tiny machine learning (TinyML) and edge intelligence have emerged as pivotal paradigms for enabling ...

Awareness and Attitude Toward Artificial Intelligence Among Medical Students and Pathology Trainees: Survey Study.

BACKGROUND: Artificial intelligence (AI) is set to shape the future of medical practice. The perspec...

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