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Surveys

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

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A Survey of the Usages of Deep Learning for Natural Language Processing.

Over the last several years, the field of natural language processing has been propelled forward by ...

Integrating Multi-Omic Data With Deep Subspace Fusion Clustering for Cancer Subtype Prediction.

One type of cancer usually consists of several subtypes with distinct clinical implications, thus th...

A new health prediction model for a sensor network based on belief rule base with attribute reliability.

Health prediction plays an essential role in improving the reliability of a sensor network by guidin...

A survey on incorporating domain knowledge into deep learning for medical image analysis.

Although deep learning models like CNNs have achieved great success in medical image analysis, the s...

Verifying explainability of a deep learning tissue classifier trained on RNA-seq data.

For complex machine learning (ML) algorithms to gain widespread acceptance in decision making, we mu...

The Gender Gap Tracker: Using Natural Language Processing to measure gender bias in media.

We examine gender bias in media by tallying the number of men and women quoted in news text, using t...

Machine and Deep Learning towards COVID-19 Diagnosis and Treatment: Survey, Challenges, and Future Directions.

With many successful stories, machine learning (ML) and deep learning (DL) have been widely used in ...

Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research.

By promising more accurate diagnostics and individual treatment recommendations, deep neural network...

Denoising non-steady state dynamic PET data using a feed-forward neural network.

The quality of reconstructed dynamic PET images, as well as the statistical reliability of the estim...

Judges' evaluation reliability changes between identifiable and anonymous performance of hip-hop dance movements.

Hip-hop competitions are performed across the world. In the recent inclusion in the 2018 Youth Olymp...

Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning.

This study aimed at identifying the factors associated with neonatal mortality. We analyzed the Demo...

Prediction of Total Drug Clearance in Humans Using Animal Data: Proposal of a Multimodal Learning Method Based on Deep Learning.

Research into pharmacokinetics plays an important role in the development process of new drugs. Accu...

Co-designing diagnosis: Towards a responsible integration of Machine Learning decision-support systems in medical diagnostics.

RATIONALE: This paper aims to show how the focus on eradicating bias from Machine Learning decision-...

Secure and Robust Machine Learning for Healthcare: A Survey.

Recent years have witnessed widespread adoption of machine learning (ML)/deep learning (DL) techniqu...

A survey of deep learning models in medical therapeutic areas.

Artificial intelligence is a broad field that comprises a wide range of techniques, where deep learn...

Validity and precision of the International Physical Activity Questionnaire for climacteric women using computational intelligence techniques.

This study aimed to evaluate the validity and precision of the International Physical Activity Quest...

Artificial intelligence in the medical physics community: An international survey.

PURPOSE: To assess current perceptions, practices and education needs pertaining to artificial intel...

Attitude of Brazilian dentists and dental students regarding the future role of artificial intelligence in oral radiology: a multicenter survey.

OBJECTIVES: The aim of this study was to assess the attitude of dentists and dental students in Braz...

A Comprehensive Survey on Graph Neural Networks.

Deep learning has revolutionized many machine learning tasks in recent years, ranging from image cla...

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