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

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Income inequalities, social support and depressive symptoms among older adults in Europe: a multilevel cross-sectional study.

UNLABELLED: This study analysed the association between income inequality and depression from a mult...

DSResSol: A Sequence-Based Solubility Predictor Created with Dilated Squeeze Excitation Residual Networks.

Protein solubility is an important thermodynamic parameter that is critical for the characterization...

Fair comparisons: Life course selection bias and the effect of father absence on US children.

Studies have shown that father absence in opposite-gender couples has detrimental effects on childre...

Human Segmentation and Tracking Survey on Masks for MADS Dataset.

Human segmentation and tracking often use the outcome of person detection in the video. Thus, the re...

Assessing the reliability of automatic sentiment analysis tools on rating the sentiment of reviews of NHS dental practices in England.

BACKGROUND: Online reviews may act as a rich source of data to assess the quality of dental practice...

Physiological signal-based drowsiness detection using machine learning: Singular and hybrid signal approaches.

INTRODUCTION: Drowsiness is one of the main contributors to road-related crashes and fatalities worl...

Population Preferences for Performance and Explainability of Artificial Intelligence in Health Care: Choice-Based Conjoint Survey.

BACKGROUND: Certain types of artificial intelligence (AI), that is, deep learning models, can outper...

Towards a Resilience to Stress Index Based on Physiological Response: A Machine Learning Approach.

This study proposes a new index to measure the resilience of an individual to stress, based on the c...

Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations.

Artificial intelligence (AI) systems have increasingly achieved expert-level performance in medical ...

Tools to support the automation of systematic reviews: a scoping review.

OBJECTIVE: The objectives of this scoping review are to identify the reliability and validity of the...

Event-Based Vision: A Survey.

Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead of captu...

Fuzzy Logic in Aircraft Onboard Systems Reliability Evaluation-A New Approach.

This paper is a continuation of research into the possibility of using fuzzy logic to assess the rel...

Sheep's coping style can be identified by unsupervised machine learning from unlabeled data.

The objective of this study was to define coping style of sheep by using unsupervised machine learni...

[Robot-assisted Minimally Invasive Surgery in the age of surgical data science].

With the continuous development of information technology, robotics and data science will certainly ...

A Coordinated and Optimized Mechanism of Artificial Intelligence for Student Management by College Counselors Based on Big Data.

The purpose of this article is to perform in-depth research and analysis on the artificial intellige...

Automated sleep state classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning.

BACKGROUND: Wide-field calcium imaging (WFCI) allows for monitoring of cortex-wide neural dynamics i...

Advancing health equity with artificial intelligence.

Population and public health are in the midst of an artificial intelligence revolution capable of ra...

Deep Learning-Based Detection and Diagnosis of Subarachnoid Hemorrhage.

Subarachnoid hemorrhage (SAH) is one of the critical and severe neurological diseases with high morb...

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