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Surveys

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

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The ethical considerations of integrating artificial intelligence into surgery: a review.

The integration of artificial intelligence (AI) into surgery raises significant ethical concerns, in...

Graph neural networks for single-cell omics data: a review of approaches and applications.

Rapid advancement of sequencing technologies now allows for the utilization of precise signals at si...

Learn from artificial intelligence: the pursuit of objectivity.

Humans continuously face threats from emerging novel pathogens and antimicrobial resistant bacteria ...

Can GPTs Accelerate the Development of Intelligent Diagnosis and Treatment in Traditional Chinese Medicine? A Survey and Empirical Analysis.

Intelligent traditional Chinese medicine (TCM) is a key pathway toward the modernization and globali...

Generative Versus Nongenerative Artificial Intelligence.

Artificial intelligence (AI) is a colossal buzzword, a confusing subject matter, but also an inevita...

Invited commentary: deep learning-methods to amplify epidemiologic data collection and analyses.

Deep learning is a subfield of artificial intelligence and machine learning, based mostly on neural ...

Validity and Inter-Device Reliability of an Artificial Intelligence App for Real-Time Assessment of 505 Change of Direction Tests.

The present study aimed to explore the validity and inter-device reliability of a novel artificial i...

Using human factors methods to mitigate bias in artificial intelligence-based clinical decision support.

OBJECTIVES: To highlight the often overlooked role of user interface (UI) design in mitigating bias ...

A survey analysis of the adoption of large language models among pathologists.

OBJECTIVES: We sought to investigate the adoption and perception of large language model (LLM) appli...

AI for all: bridging data gaps in machine learning and health.

Artificial intelligence (AI) and its subset, machine learning, have tremendous potential to transfor...

Innovative data techniques for centrifugal pump optimization with machine learning and AI model.

In modern centrifugal pump machines (CPM), a data acquisition system encompassing software- hardware...

Comparative evaluation of the accuracy and reliability of ChatGPT versions in providing information on infection.

OBJECTIVE: This study aimed to evaluate the accuracy and reliability of responses provided by three ...

Measuring trust in artificial intelligence: validation of an established scale and its short form.

An understanding of the nature and function of human trust in artificial intelligence (AI) is fundam...

Machine learning model based on survey assessment of sleep quality in chronic obstructive pulmonary disease patients.

PURPOSE: The aim is to develop a learning model based on clinical and survey data to assess sleep qu...

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