Public Health & Policy

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

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Chest X-ray image phase features for improved diagnosis of COVID-19 using convolutional neural network.

PURPOSE: Recently, the outbreak of the novel coronavirus disease 2019 (COVID-19) pandemic has seriou...

Angle-closure assessment in anterior segment OCT images via deep learning.

Precise characterization and analysis of anterior chamber angle (ACA) are of great importance in fac...

Temporal Convolutional Neural Networks for Radar Micro-Doppler Based Gait Recognition.

The capability of sensors to identify individuals in a specific scenario is a topic of high relevanc...

Application of Artificial Intelligence to Address Issues Related to the COVID-19 Virus.

Artificial intelligence (AI) plays a major role in addressing novel coronavirus 2019 (COVID-19)-rela...

Worldwide diffusion of robotic approach in general surgery.

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

Scabies and impetigo in Samoa: A school-based clinical and molecular epidemiological study.

BACKGROUND: Common infections of the skin such as impetigo and scabies represent a large burden of d...

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 ...

The Prediction of Hepatitis E through Ensemble Learning.

According to the World Health Organization, about 20 million people are infected with Hepatitis E ev...

For a critical appraisal of artificial intelligence in healthcare: The problem of bias in mHealth.

RATIONALE, AIMS AND OBJECTIVES: Artificial intelligence and big data are more and more used in medic...

Ontological representation, classification and data-driven computing of phenotypes.

BACKGROUND: The successful determination and analysis of phenotypes plays a key role in the diagnost...

How artificial intelligence may help the Covid-19 pandemic: Pitfalls and lessons for the future.

The clinical severity, rapid transmission and human losses due to coronavirus disease 2019 (Covid-19...

Automated Classification of Online Sources for Infectious Disease Occurrences Using Machine-Learning-Based Natural Language Processing Approaches.

Collecting valid information from electronic sources to detect the potential outbreak of infectious ...

Delimiting cryptic morphological variation among human malaria vector species using convolutional neural networks.

Deep learning is a powerful approach for distinguishing classes of images, and there is a growing in...

Real-time neural network based predictor for cov19 virus spread.

Since the epidemic outbreak in early months of 2020 the spread of COVID-19 has grown rapidly in most...

Exploring optimal control of epidemic spread using reinforcement learning.

Pandemic defines the global outbreak of a disease having a high transmission rate. The impact of a p...

Development of a Self-Harm Monitoring System for Victoria.

The prevention of suicide and suicide-related behaviour are key policy priorities in Australia and i...

Applying Artificial Intelligence Methods for the Estimation of Disease Incidence: The Utility of Language Models.

AI-driven digital health tools often rely on estimates of disease incidence or prevalence, but obta...

Identifying Twitter users who repost unreliable news sources with linguistic information.

Social media has become a popular source for online news consumption with millions of users worldwid...

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 ...

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