Public Health & Policy

Health Policy

Latest AI and machine learning research in health policy for healthcare professionals.

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Worldwide diffusion of robotic approach in general surgery.

The robotic system has overcome some laparoscopic shortcomings, such as stereoscopic 3D-magnified vi...

Striving for quality improvement: can artificial intelligence help?

Artificial intelligence (AI) is of keen interest for global health development as potential support ...

Wasserstein GANs for MR Imaging: From Paired to Unpaired Training.

Lack of ground-truth MR images impedes the common supervised training of neural networks for image r...

Can an Artificial Intelligence Decision Aid Decrease False-Positive Breast Biopsies?

This study aimed to evaluate the effect of an artificial intelligence (AI) support system on breast ...

Clinical outcomes, predictors of prognosis and health economics consequences in IBD patients after discontinuation of the first biological therapy.

BACKGROUND: In real-world clinical practice, biologics in inflammatory bowel diseases (IBD) may be d...

Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy.

Artificial intelligence (AI) and its application in medicine has grown large interest. Within gastro...

Automatic Identification of Information Quality Metrics in Health News Stories.

Many online and printed media publish health news of questionable trustworthiness and it may be dif...

Efficient crowdsourcing of crowd-generated microtasks.

Allowing members of the crowd to propose novel microtasks for one another is an effective way to com...

Real-time plant health assessment via implementing cloud-based scalable transfer learning on AWS DeepLens.

The control of plant leaf diseases is crucial as it affects the quality and production of plant spec...

Using multivariate long short-term memory neural network to detect aberrant signals in health data for quality assurance.

BACKGROUND: The data quality of electronic health records (EHR) has been a topic of increasing inter...

Quality assurance and enrichment of biological and biomedical ontologies and terminologies.

Biological and biomedical ontologies and terminologies are used to organize and store various domain...

Harmonization of the ICHOM Quality Measures to Enable Health Outcomes Measurement in Multimorbid Patients.

To update the sets of patient-centric outcomes measures ("standard-sets") developed by the not-for-...

Assessing the signal quality of electrocardiograms from varied acquisition sources: A generic machine learning pipeline for model generation.

BACKGROUND AND OBJECTIVE: Long-term electrocardiogram monitoring comes at the expense of signal qual...

Weight-bearing CT in foot and ankle pathology.

Cone-beam scanners (CBCT) enable CT to be performed under weight-bearing - notably for the foot and ...

Quality control, HPTLC analysis, antioxidant and antimicrobial activity of hydroalcoholic extract of roots of ( C.B Clarke).

OBJECTIVES: , CB Clarke () is a perennial herb of the Compositae family. The root of has been used ...

De-Identification of Facial Features in Magnetic Resonance Images: Software Development Using Deep Learning Technology.

BACKGROUND: High-resolution medical images that include facial regions can be used to recognize the ...

Supervised and semi-supervised probabilistic learning with deep neural networks for concurrent process-quality monitoring.

Concurrent process-quality monitoring helps discover quality-relevant process anomalies and quality-...

Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization.

High-quality whole slide scanners used for animal and human pathology scanning are expensive and can...

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