Health Policy

Domain Knowledge-Driven Generation of Synthetic Healthcare Data.

Healthcare longitudinal data collected around patients' life cycles, today offer a multitude of oppo...

[Legal regulation of clinical application of artificial intelligence].

With the wide application of artificial intelligence (AI) technology in clinical practice, more and ...

De novo drug design by iterative multiobjective deep reinforcement learning with graph-based molecular quality assessment.

MOTIVATION: Generating molecules of high quality and drug-likeness in the vast chemical space is a b...

Adopting improved Adam optimizer to train dendritic neuron model for water quality prediction.

As one of continuous concern all over the world, the problem of water quality may cause diseases and...

High-accuracy protein model quality assessment using attention graph neural networks.

Great improvement has been brought to protein tertiary structure prediction through deep learning. I...

Digital health and technologies.

Digital health was given impetus by the COVID-19 pandemic and demonstrated its potential for the del...

Application of wavelet theory to enhance the performance of machine learning techniques in estimating water quality parameters (case study: Gao-Ping River).

There are several methods for modeling water quality parameters, with data-based methods being the f...

Artificial intelligence chatbots will revolutionize how cancer patients access information: ChatGPT represents a paradigm-shift.

On November 30, 2022, OpenAI enabled public access to ChatGPT, a next-generation artificial intellig...

Artificial intelligence to enhance clinical value across the spectrum of cardiovascular healthcare.

Artificial intelligence (AI) is increasingly being utilized in healthcare. This article provides cli...

Solving data quality issues of fundus images in real-world settings by ophthalmic AI.

Liu et al. develop a deep-learning-based flow cytometry-like image quality classifier, DeepFundus, f...

Smart Devices in Detecting AF: Excellent Signal Quality, But AI Can Still Learn From Clinicians.

Image Quality Assessment of Deep Learning Image Reconstruction in Torso Computed Tomography Using Tube Current Modulation.

Novel deep learning image reconstruction (DLIR) reportedly changes the image quality characteristics...

[Surgical Technique for Mesorectal Division in the Robotic Anterior Resection for Rectal Cancer].

Since April 2018, robot-assisted rectal resection has been approved as an insurance medical treatmen...

Technology Platforms and Approaches for Building and Evaluating Machine Learning Methods in Healthcare.

BACKGROUND: Artificial intelligence (AI) methods are becoming increasingly commonly implemented in h...

Evaluation of impact of epidural volume extension on the quality of spinal anaesthesia in patients undergoing proximal femoral nailing surgeries - randomized controlled study.

INTRODUCTION: Epidural volume extension is technique aiming to mitigate spinal anaesthesia induced h...

The effect of different concentrations of taxifolin on the quality of frozen and thawed semen of Simmental cattle.

BACKGROUND: Artificial insemination (AI) is one of the most important reproductive technologies used...

Developments in respiratory self-management interventions over the last two decades.

This paper describes developments in the fields of asthma and COPD self-management interventions (SM...

Deep learning image reconstruction for quality assessment of iodine concentration in computed tomography: A phantom study.

BACKGROUND: Recently, deep learning reconstruction (DLR) technology aiming to improve image quality ...

[Introduction of Robot-assisted Lung Segmentectomy].

Robot-assisted lung segmentectomy will be covered by insurance starting 2020. The results of the Jap...

3D-equivariant graph neural networks for protein model quality assessment.

MOTIVATION: Quality assessment (QA) of predicted protein tertiary structure models plays an importan...

Cost supervision mining from EMR based on artificial intelligence technology.

BACKGROUND: To effectively monitor medical insurance funds in the era of big data, the study tries t...