Health Policy

Open access database for artificial intelligence research.

Active Actions in the Extraction of Urban Objects for Information Quality and Knowledge Recommendation with Machine Learning.

Due to the increasing urban development, it has become important for municipalities to permanently u...

A deep learning platform to assess drug proarrhythmia risk.

Drug safety initiatives have endorsed human iPSC-derived cardiomyocytes (hiPSC-CMs) as an in vitro m...

Toward the Internet of Medical Things: Architecture, trends and challenges.

In recent years, the growing pervasiveness of wearable technology has created new opportunities for ...

An open-access breast lesion ultrasound image database‏: Applicable in artificial intelligence studies.

Breast cancer is one of the largest single contributors to the burden of disease worldwide. Early de...

Improving quality control in the routine practice for histopathological interpretation of gastrointestinal endoscopic biopsies using artificial intelligence.

BACKGROUND: Colorectal and gastric cancer are major causes of cancer-related deaths. In Korea, gastr...

Cost drivers for benign hysterectomy within a health care system: Influence of patient, perioperative, and hospital factors.

OBJECTIVE: To identify patient, perioperative, and hospital factors that drive total hospital charge...

Evidence synthesis, digital scribes, and translational challenges for artificial intelligence in healthcare.

Healthcare has well-known challenges with safety, quality, and effectiveness, and many see artificia...

Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove.

Hand gesture recognition is one of the most widely explored areas under the human-computer interacti...

Structure-preserved meta-learning uniting network for improving low-dose CT quality.

Deep neural network (DNN) based methods have shown promising performances for low-dose computed tomo...

Exploring the Quality of Dynamic Open Government Data Using Statistical and Machine Learning Methods.

Dynamic data (including environmental, traffic, and sensor data) were recently recognized as an impo...

End-to-End One-Shot Path-Planning Algorithm for an Autonomous Vehicle Based on a Convolutional Neural Network Considering Traversability Cost.

Path planning plays an important role in navigation and motion planning for robotics and automated d...

Cost-Effectiveness and Value of Information Analysis of an Ambient Intelligent Geriatric Management (AmbIGeM) System Compared to Usual Care to Prevent Falls in Older People in Hospitals.

BACKGROUND: The Ambient Intelligent Geriatric Management (AmbIGeM) system combines wearable sensors ...

Impact of a new deep-learning-based reconstruction algorithm on image quality in ultra-high-resolution CT: clinical observational and phantom studies.

OBJECTIVES: To demonstrate the effect of an improved deep learning-based reconstruction (DLR) algori...

Convolutional neural network -based phantom image scoring for mammography quality control.

BACKGROUND: Visual evaluation of phantom images is an important, but time-consuming part of mammogra...

Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data.

In a hospital, accurate and rapid mortality prediction of Length of Stay (LOS) is essential since it...

Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators.

There is a large proliferation of complex data-driven artificial intelligence (AI) applications in m...

Cost analysis of training residents in robotic-assisted surgery.

INTRODUCTION: Use of robotic-assisted surgery is increasing, and resident involvement may lead to hi...

Evaluation of roadside air quality using deep learning models after the application of the diesel vehicle policy (Euro 6).

Euro 6 is the latest vehicle emission standards for pollutants such as CO, NO and PM, that all new v...

Patch-based CNN for corneal segmentation of AS-OCT images: Effect of the number of classes and image quality upon performance.

Anterior segment optical coherence tomography (AS-OCT) is a fundamental ophthalmic imaging technique...

Case Study: Improving the Quality of Dairy Cow Reconstruction with a Deep Learning-Based Framework.

Three-dimensional point cloud generation systems from scanning data of a moving camera provide extra...