Surveys

Addressing bias: artificial intelligence in cardiovascular medicine.

Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks.

BACKGROUND AND OBJECTIVE: The COVID-19 pandemic has caused severe mortality across the globe, with t...

Classification of femur trochanteric fracture: Evaluating the reliability of Tang classification.

INTRODUCTION: Given the drawbacks of a femoral intertrochanteric fracture classification based on 2-...

Applications of deep learning in dentistry.

Over the last few years, translational applications of so-called artificial intelligence in the fiel...

A Survey of Deep Network Techniques All Classifiers Can Adopt.

Deep neural networks (DNNs) have introduced novel and useful tools to the machine learning community...

Learning Bayesian networks from demographic and health survey data.

Child mortality from preventable diseases such as pneumonia and diarrhoea in low and middle-income c...

Deep Learning for Understanding Satellite Imagery: An Experimental Survey.

Translating satellite imagery into maps requires intensive effort and time, especially leading to in...

Shared decision-making and maternity care in the deep learning age: Acknowledging and overcoming inherited defeaters.

In recent years there has been an explosion of interest in Artificial Intelligence (AI) both in heal...

A comparison of two remotely operated vehicle (ROV) survey methods used to estimate fish assemblages and densities around a California oil platform.

Offshore oil and gas platforms have a finite life of production operations. Once production ceases, ...

The validity of Dutch health claims data for identifying patients with chronic kidney disease: a hospital-based study in the Netherlands.

BACKGROUND: Health claims data may be an efficient and easily accessible source to study chronic kid...

Automated conservation assessment of the orchid family with deep learning.

International Union for Conservation of Nature (IUCN) Red List assessments are essential for priorit...

Analysis of Copernicus' ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction.

Knowledge of phenological events and their variability can help to determine final yield, plan manag...

Deep learning-enabled multi-organ segmentation in whole-body mouse scans.

Whole-body imaging of mice is a key source of information for research. Organ segmentation is a prer...

Pelvic Anatomical Features After Retzius-Sparing Robot-Assisted Radical Prostatectomy Intended for Early Recovery of Urinary Symptoms.

To elucidate factors contributing to early urinary continence recovery after retzius-sparing robot-...

Reliability of robotic transcranial magnetic stimulation motor mapping.

Robotic transcranial magnetic stimulation (TMS) is a noninvasive and safe tool that produces cortica...

Ready for the robot? A cross-sectional survey of OB/GYN fellowship directors' experience and expectations of their incoming fellow's robotic surgical skills.

To describe OB/GYN fellowship directors' (FDs) observations, expectations, and preferences of incomi...

Lightning search algorithm: a comprehensive survey.

The lightning search algorithm (LSA) is a novel meta-heuristic optimization method, which is propose...

Low Rank Regularization: A review.

Low Rank Regularization (LRR), in essence, involves introducing a low rank or approximately low rank...

Assessment of User Needs for Telemedicine Robots in a Developing Nation Hospital Setting.

This study aimed to investigate the needs of medical users of telemedicine robots to encourage inte...

Digital Twin Coaching for Physical Activities: A Survey.

Digital Twin technology has been rising in popularity thanks to the popularity of machine learning i...

Perceptions of Artificial Intelligence Among Healthcare Staff: A Qualitative Survey Study.

The medical community is in agreement that artificial intelligence (AI) will have a radical impact ...