Latest AI and machine learning research in public health & policy for healthcare professionals.
The use of Artificial Intelligence (AI) technologies within the healthcare sector is growing. However, there are differences in the speed of commercial adoption of AI across sub-sectors. We employ a dataset including news mentions and executive communications of all S&P500 Health Care Index companies to explore these differences. Pharmaceutical and medicine manufacturing companies had the earliest...
PURPOSE OF REVIEW: We review applications of artificial intelligence (AI), including machine learning (ML), in the field of HIV prevention.
Digitization offers considerable potential for strengthening prevention in the healthcare system. Data from various clinical and nonclinical sources c...
Concurrent advances in information technology infrastructure and mobile computing power in many low and middle-income countries (LMICs) have raised ho...
Artificial intelligence surveillance can be used to diagnose individual cases, track the spread of Covid-19, and help provide care. The use of AI for ...
The cost-effectiveness of targeted delinquency prevention programs for children depends on the accuracy of the screening process. Screening accuracy i...
Machine learning provides a method of identifying factors that discriminate between substance users and non-users potentially improving our ability to...
To develop a classification model for accurately discriminating common infectious diseases in Zhejiang province, China.Symptoms and signs, abnormal la...
Influenza viruses are persistently threatening public health, causing annual epidemics and sporadic pandemics due to rapid viral evolution. Vaccines a...
Accompanied by changes in modern work and lifestyle, the incidence of cervical spondylosis has increased year by year. In view of the fact long-term f...
Big data is the fuel of mankind's fourth industrial revolution. Coupled with new technology such as artificial intelligence and deep learning, the pot...
Word embeddings are a popular approach to unsupervised learning of word relationships that are widely used in natural language processing. In this art...
OBJECTIVES: The Veterans Affairs (VA) Health Care System is among the largest integrated health systems in the United States. Many VA enrollees are du...
Due to the high costs of providing long-term care to older adults with cognitive impairment, artificial companions are increasingly considered as a co...
BACKGROUND: The COVID-19 outbreak pandemic is a situation without a tested action plan. Rehabilitation team members have been called for duty with new...
This article traces the history of the development of artificial intelligence as a science that constantly responds to current problems that arise in ...
Machine learning is a branch of computer science that has the potential to transform epidemiologic sciences. Amid a growing focus on "Big Data," it of...
Medication adherence, by definition,(2) is "the extent to which a patient acts in accordance with the prescribed interval and dose of a dosing regimen...
Predictive analytics have begun to change the workflows of healthcare by giving insight into our future health. Deploying prognostic models into clini...