Public Health

Artificial intelligence technology for diagnosing COVID-19 cases: a review of substantial issues.

Today, the world suffers from the rapid spread of COVID-19, which has claimed thousands of lives. Un...

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT.

Accurate and rapid diagnosis of COVID-19 suspected cases plays a crucial role in timely quarantine a...

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.

The coronavirus disease (COVID-19) is rapidly spreading all over the world, and has infected more th...

Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning.

Automated Screening of COVID-19 from chest CT is of emergency and importance during the outbreak of ...

Artificial intelligence or manufactured stupidity? The need for injury informaticians in the big data era.

The volume, velocity and variety of data collected about individuals have increased exponentially ov...

Role of 5G-powered remote robotic ultrasound during the COVID-19 outbreak: insights from two cases.

The 2019 Novel Coronavirus disease (COVID-19) broke out in Wuhan, China in December 2019 and spread ...

[Machine learning-based method for interpreting the guidelines of the diagnosis and treatment of COVID-19].

The outbreak of pneumonia caused by novel coronavirus (COVID-19) at the end of 2019 was a major publ...

When two heads are better than one: nutritional epidemiology meets machine learning.

Artificial intelligence and the future of global health.

Concurrent advances in information technology infrastructure and mobile computing power in many low ...

AI Surveillance during Pandemics: Ethical Implementation Imperatives.

Artificial intelligence surveillance can be used to diagnose individual cases, track the spread of C...

Deep Learning Localization of Pneumonia: 2019 Coronavirus (COVID-19) Outbreak.

Application of Basic Epidemiologic Principles and Electronic Health Records in a Deep Learning Prediction Model-Reply.

Application of Basic Epidemiologic Principles and Electronic Health Records in a Deep Learning Prediction Model.

Application of Basic Epidemiologic Principles and Electronic Health Records in a Deep Learning Prediction Model.

Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks.

Influenza viruses are persistently threatening public health, causing annual epidemics and sporadic ...

A Bayesian classification model for discriminating common infectious diseases in Zhejiang province, China.

To develop a classification model for accurately discriminating common infectious diseases in Zhejia...

Comparative Study in Efficacy and Safety of Intralesional Injections of Vitamin D3, Measles Rubella (MR) Vaccine, and Purified Protein Derivative (PPD) in the Management of Cutaneous Warts.

INTRODUCTION: Cutaneous warts caused by human papillomavirus are the most common dermatological dise...

The most cited and co-cited COVID-19 articles: Knowledge base for rehabilitation team members.

BACKGROUND: The COVID-19 outbreak pandemic is a situation without a tested action plan. Rehabilitati...

What is Machine Learning? A Primer for the Epidemiologist.

Machine learning is a branch of computer science that has the potential to transform epidemiologic s...

Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics.

BACKGROUND: The identification of surgical site infections for infection surveillance in hospitals d...

A virus precipitation method for concentration & detection of avian influenza viruses from environmental water resources & its possible application in outbreak investigations.

BACKGROUND & OBJECTIVES: Avian influenza (AI) viruses have been a major cause of public health conce...