Health Policy

Machine learning improves genome quality prediction across the microbial tree of life.

A marker-based neural network system for extracting social determinants of health.

OBJECTIVE: The impact of social determinants of health (SDoH) on patients' healthcare quality and th...

Development of a deep learning-based error detection system without error dose maps in the patient-specific quality assurance of volumetric modulated arc therapy.

To detect errors in patient-specific quality assurance (QA) for volumetric modulated arc therapy (VM...

The Quality and Utility of Artificial Intelligence in Patient Care.

BACKGROUND: Artificial intelligence (AI) is increasingly being used in patient care. In the future, ...

Handling Class Imbalance in Machine Learning-based Prediction Models: A Case Study in Asthma Management.

A data-driven prediction tool has the potential to provide early warning of an asthma attack and imp...

Prescriptive Method for Optimizing Cost of Data Collection and Annotation in Machine Learning of Clinical Ultrasound.

UNLABELLED: Machine learning in medical ultrasound faces a major challenge: the prohibitive costs of...

Deep-Learning Based Quantification of Bovine Oocyte Quality From Microscopy Images.

The success rate of bovine in vitro embryo reproduction is low and highly dependent on the oocyte qu...

Upper-Limb Rehabilitation of Patients with Neuromotor Deficits Using Impedance-Based Control of a 6-DOF Robot.

This paper presents a study on the use of impedance-based control of a 6-degree-of-freedom robot for...

Streams, rivers and data lakes: an introduction to understanding modern electronic healthcare records.

As foundation doctors, we have often found ourselves informing patients that a certain aspect of the...

[Robot-assisted Thoracic Surgery for Mediastinal Tumor].

In Japan, robot-assisted thoracic surgery (RATS) was introduced in thoracic surgery in 2001, but it ...

[Robot-assisted Thoracoscopic Surgery for Mediastinal Tumor in Our Department].

In 2019, our facility introduced robot-assisted surgery for mediastinal tumors using da Vinci Si, wh...

Data Quality in Healthcare for the Purpose of Artificial Intelligence: A Case Study on ECG Digitalization.

The quantity of data generated within healthcare is increasing exponentially. Following this develop...

Revolutionizing Healthcare with Foundation AI Models.

ChatGPT is a foundation Artificial Intelligence (AI) model that has opened up new opportunities in d...

Data Quality Estimation Via Model Performance: Machine Learning as a Validation Tool.

In our recent study, the attempt to classify neurosurgical operative reports into routinely used exp...

[A method for photoplethysmography signal quality assessment fusing multi-class features with multi-scale series information].

Photoplethysmography (PPG) is often affected by interference, which could lead to incorrect judgment...

[Quality of Images Reconstructed by Deep Learning Reconstruction Algorithm for Head and Neck CT Angiography at 100 kVp].

Objective To evaluate the impact of deep learning reconstruction algorithm on the image quality of h...

Statistical quality control based on control charts and process efficiency index by the application of fuzzy approach (case study: Ha'il, Saudi Arabia).

Fuzzy methods using linguistic expressions and fuzzy numbers can provide a more accurate examination...

[Patent application of intelligent quality control technology in traditional Chinese medicine production process: a review].

In the new stage for intelligent manufacturing of traditional Chinese medicine(TCM) from pilot demon...

[The application value of deep learning image reconstruction on improving image quality and evaluating the Qanadli embolism index of dual low-dose CT pulmonary angiography].

To compare the image quality and Qanadli embolism index between deep learning image reconstruction ...

Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce Workload.

OBJECTIVE: To evaluate the effectiveness of a new strategy for using artificial intelligence (AI) as...

The Inverse Data Law: Market Imperatives, Data, and Quality in AI Supported Care.

Over the last decade, the explosion of "Big Data" and its fusion with AI has led many to believe tha...