Surveys

Predicting the Assisted Living Care Needs Using Machine Learning and Health State Survey Data.

Effective pain management can significantly improve quality of life and outcomes for various types o...

Deep Learning Based Junctional Zone Quantification using 3D Transvaginal Ultrasound in Assisted Reproduction.

The Uterine Junctional Zone (JZ) is identified as an important anatomical region in the implantation...

Empirical assessment of bias in machine learning diagnostic test accuracy studies.

OBJECTIVE: Machine learning (ML) diagnostic tools have significant potential to improve health care....

A Survey of Nurses' Need for Care Robots in Children's Hospitals: Combining Robot-Care, Game-Care, and Edu-Care.

The purpose of this study was to investigate nurses' need for care robots in children's hospitals an...

Introducing New Measures of Inter- and Intra-Rater Agreement to Assess the Reliability of Medical Ground Truth.

In this paper, we present and discuss two new measures of inter- and intra-rater agreement to assess...

Predictive Pattern Classification Can Distinguish Gender Identity Subtypes from Behavior and Brain Imaging.

The exact neurobiological underpinnings of gender identity (i.e., the subjective perception of onese...

Examining joint attention with the use of humanoid robots-A new approach to study fundamental mechanisms of social cognition.

This article reviews methods to investigate joint attention and highlights the benefits of new metho...

Atlas-Based Classification Algorithms for Identification of Informative Brain Regions in fMRI Data.

Multi-voxel pattern analysis (MVPA) has been successfully applied to neuroimaging data due to its la...

Evaluation of ontology structural metrics based on public repository data.

The development and application of biological ontologies have increased significantly in recent year...

Mischief-making bots attacked my scientific survey.

Acceptability and Perceived Utility of Telemedical Consultation during Cardiac Arrest Resuscitation. A Multicenter Survey.

Many clinicians who participate in or lead in-hospital cardiac arrest (IHCA) resuscitations lack co...

A Survey on Machine Learning Algorithms for the Diagnosis of Breast Masses with Mammograms.

Breast cancer is leading cancer among women for the past 60 years. There are no effective mechanisms...

Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey.

BACKGROUND: Lung cancer is the most common cancer in the world. Computed tomography (CT) is the stan...

A Machine Learning Framework for Assessment of Cognitive and Functional Impairments in Alzheimer's Disease: Data Preprocessing and Analysis.

The neuropsychological scores and Functional Activities Questionnaire (FAQ) are significant to measu...

Artificial Intelligence in Clinical Neuroscience: Methodological and Ethical Challenges.

Clinical neuroscience is increasingly relying on the collection of large volumes of differently stru...

Robust-ODAL: Learning from heterogeneous health systems without sharing patient-level data.

Electronic Health Records (EHR) contain extensive patient data on various health outcomes and risk p...

[Digitalization in surgery : What surgeons currently think and know about it-results of an online survey].

BACKGROUND: The digitalization process is currently on everyone's lips and sweeping changes in the f...

Machine-learning-based knowledge discovery in rheumatoid arthritis-related registry data to identify predictors of persistent pain.

Early detection of patients with chronic diseases at risk of developing persistent pain is clinicall...

Addressing Bias in Artificial Intelligence in Health Care.

Medication Adherence and Stroke Prevention: What Real World Data Tells Us.

Medication adherence, by definition,(2) is "the extent to which a patient acts in accordance with th...

Artificial intelligence and algorithmic bias: implications for health systems.