Modeling Research Topics for Artificial Intelligence Applications in Medicine: Latent Dirichlet Allocation Application Study.

BACKGROUND: Artificial intelligence (AI)-based technologies develop rapidly and have myriad applications in medicine and health care. However, there is a lack of comprehensive reporting on the productivity, workflow, topics, and research landscape of AI in this field. OBJECTIVE: This study aimed to evaluate the global development of scientific publications and constructed interdisciplinary research topics on the theory and practice of AI in medicine from 1977 to 2018. METHODS: We obtained bibliographic data and abstract contents of publications published between 1977 and 2018 from the Web of Science database. A total of 27,451 eligible articles were analyzed. Research topics were classified by latent Dirichlet allocation, and principal component analysis was used to identify the construct of the research landscape. RESULTS: The applications of AI have mainly impacted clinical settings (enhanced prognosis and diagnosis, robot-assisted surgery, and rehabilitation), data science and precision medicine (collecting individual data for precision medicine), and policy making (raising ethical and legal issues, especially regarding privacy and confidentiality of data). However, AI applications have not been commonly used in resource-poor settings due to the limit in infrastructure and human resources. CONCLUSIONS: The application of AI in medicine has grown rapidly and focuses on three leading platforms: clinical practices, clinical material, and policies. AI might be one of the methods to narrow down the inequality in health care and medicine between developing and developed countries. Technology transfer and support from developed countries are essential measures for the advancement of AI application in health care in developing countries.

Customers' Perceptions of Compliance with a Tobacco Control Law in Restaurants in Hanoi, Vietnam: A Cross-Sectional Study.

The Tobacco Harm Prevention Law has been promulgated in 2012 in Vietnam, prohibiting smoking in public places such as restaurants except for designated smoking areas. However, currently, evidence about Vietnamese customers’ and restaurants’ compliance with the Law is constrained. This study aimed to explore customers’ perceptions; attitudes and practices towards the compliance with tobacco control regulations in the restaurants in Hanoi, Vietnam. A cross-sectional study was performed in October 2015 with 1746 customers in 176 communes in Hanoi, Vietnam. Data about customers’ perceptions on how restaurants comply with the smoking control law and whether customers smoking actively or experienced SHS in restaurants in the last 30 days were collected. Multivariable mixed effects logistic regression model was used to determine the factors related to smoking in the restaurant. Most customers were aware of the law on Tobacco Harm Prevention (79%; n = 1320) and regulations that prohibited smoking in restaurants (78.4%; n = 1137). While 75.8% (n = 1285) of customers perceived that they did not see or rarely saw no-smoking signs, 17.7% (n = 481) of customers reported that they frequently saw direct marketing of tobacco in visited restaurants. About one-fourth of customers witnessed that the staff reminded customers not to smoke inside restaurants (28.8%; n = 313), and 65% (n = 1135) sometimes or always were exposed to secondhand smoke in their visited restaurants. People who were female (OR = 0.02, 95% CI = 0.01⁻0.05) were less likely to report their smoking in the restaurant than their counterparts. Those having higher age (OR = 1.03; 95% CI = 1.01⁻1.06), high school education (OR = 2.14, 95% CI = 1.07⁻4.26), being office workers (OR = 3.24, 95% CI = 1.33⁻7.92) or unemployed (OR = 4.45; 95% CI = 1.09⁻18.15) had a higher likelihood of reporting to be restaurant smokers than those having lower high education or students, respectively. This study highlighted a low level of perceived compliance with the smoke-free law in Vietnamese restaurants. Improving the monitoring systems for the enforcement of the smoking law in restaurants should be prioritized; restaurant owners should implement 100% smoke-free environments as following the best practice towards the tobacco control law along with educational campaigns to promote the awareness of restaurant owners and customers about the tobacco control law.