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

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Showing 2290-2310 of 5,857 articles
Leveraging implicit expert knowledge for non-circular machine learning in sepsis prediction.

Sepsis is the leading cause of death in non-coronary intensive care units. Moreover, a delay of anti...

A survey of adaptive resonance theory neural network models for engineering applications.

This survey samples from the ever-growing family of adaptive resonance theory (ART) neural network m...

Three-dimensional convolutional neural networks for simultaneous dual-tracer PET imaging.

Dual-tracer positron emission tomography (PET) is a promising technique to measure the distribution ...

EMG-based lumbosacral joint compression force prediction using a support vector machine.

Electromyography-assisted optimization (EMGAO) approach is widely used to predict lumbar joint loads...

Cross-Sectional Survey of Childhood Acetabular Development in Japan.

INTRODUCTION: We aimed to clarify childhood acetabular development and to identify the incidence of ...

On the validity of memristor modeling in the neural network literature.

An analysis of the literature shows that there are two types of non-memristive models that have been...

Clustering suicides: A data-driven, exploratory machine learning approach.

Methods of suicide have received considerable attention in suicide research. The common approach to ...

LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring.

There is much evidence that long non-coding RNA (lncRNA) is associated with many diseases. However, ...

Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.

Racial disparities in the utilization of epilepsy surgery are well documented, but it is unknown whe...

Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data.

Colorectal cancer (CRC) is third in prevalence and mortality among all cancers in the US. Currently,...

An investigation of quantitative accuracy for deep learning based denoising in oncological PET.

Reducing radiation dose is important for PET imaging. However, reducing injection doses causes incre...

The Attitudes of Therapists and Physicians on the Use of Sex Robots in Sexual Therapy: Online Survey and Interview Study.

BACKGROUND: Various types of robots have already been successfully used in medical care, and the use...

Hidden bias in the DUD-E dataset leads to misleading performance of deep learning in structure-based virtual screening.

Recently much effort has been invested in using convolutional neural network (CNN) models trained on...

Practice pattern variability in the management of acute severe colitis: a UK provider survey.

INTRODUCTION: Lack of comparative trial data on dosing regimens of infliximab in patients with acute...

Artificial Intelligence in Clinical Decision Support: a Focused Literature Survey.

OBJECTIVES: This survey analyses the latest literature contributions to clinical decision support sy...

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