Latest AI and machine learning research in public health for healthcare professionals.
Colorectal cancer is one of the most common cancers worldwide, and colonoscopy has proven to be a preferable modality for screening and surveillance of colorectal cancer. This review discusses the clinical application of artificial intelligence (AI) and computer-aided diagnosis for automated colonoscopic detection and diagnosis of colorectal polyps for better understanding of the application of AI...
The COVID-19 outbreak was announced as a global pandemic by the World Health Organization in March 2020 and has affected a growing number of people in the past few months. In this context, advanced artificial intelligence techniques are brought to the forefront as a response to the ongoing fight toward reducing the impact of this global health crisis. In this study, potential use-cases of intellig...
Ensemble modelling is a quantitative method that combines information from multiple individual models and has shown great promise in statistical machi...
The field of health services research is broad and seeks to answer questions about the health care system. It is inherently interdisciplinary, and epi...
BACKGROUND: Immunization is a significant public health intervention to reduce child mortality and morbidity. However, its coverage, in spite of free ...
PURPOSE: Chest X-ray plays a key role in diagnosis and management of COVID-19 patients and imaging features associated with clinical elements may assi...
BACKGROUND: Accurate and rapid diagnosis of coronavirus disease (COVID-19) is crucial for timely quarantine and treatment.
The current COVID-19 pandemic initiated an unprecedented response from clinicians and the scientific community in all relevant biomedical fields. It c...
This paper investigates the possibility of the implementation of Genetic Programming (GP) algorithm on a publicly available COVID-19 data set, in orde...
Clinical database is a collection of clinical data related to patients, which can be used for analysis and research. Clinical data can be classified i...
In the 21 century, while some people seek to use artificial intelligence for health services delivery, others have to surrender their health rights to...
BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare and aggressive malignancy with a dismal prognosis. We aimed to identify predictors of survi...
Chronic kidney disease (CKD) treated by hemodialysis (HD) is a worldwide major public health problem. Its incidence is getting higher and higher, lead...
Since the outbreak of COVID-19, it has spread rapidly throughout the country and even in the world. As a first tier city, Guangzhou is also the South ...
Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARS-CoV-19 through existing data that re...
BACKGROUND: The Skeletal Oncology Research Group (SORG) machine learning algorithm for predicting survival in patients with chondrosarcoma was develop...
OBJECTIVES: We present the development and validation of a portable NLP approach for automated surveillance of SSIs.
To adapt and extend an existing typology of vaccine misinformation to classify the major topics of discussion across the total vaccine discourse on T...
Today, the world suffers from the rapid spread of COVID-19, which has claimed thousands of lives. Unfortunately, its treatment is yet to be developed....
The volume, velocity and variety of data collected about individuals have increased exponentially over the last decade, presenting new injury surveill...