RESUMEN
This study aimed to assess the research on medical Artificial intelligence (AI) related to sex/gender and explore global research trends over the past 20 years. We searched the Web of Science (WoS) for gender-related medical AI publications from 2001 to 2020. We extracted the bibliometric data and calculated the annual growth of publications, Specialization Index, and Category Normalized Citation Impact. We also analyzed the publication distributions by institution, author, WoS subject category, and journal. A total of 3,110 papers were included in the bibliometric analysis. The number of publications continuously increased over time, with a steep increase between 2016 and 2020. The United States of America and Harvard University were the country and institution that had the largest number of publications. Surgery and urology nephrology were the most common subject categories of WoS. The most occurred keywords were machine learning, classification, risk, outcomes, diagnosis, and surgery. Despite increased interest, gender-related research is still low in medical AI field and further research is needed.
RESUMEN
Background: As sex and gender are important considerations in the assessment of toxic chemicals, we investigated whether sex and gender issues have been adequately considered in toxicological databases. Materials and Methods: A systemic review was conducted on the toxicity and epidemiology data of eight environmental chemicals (i.e., cadmium [Cd], lead [Pb], benzene, toluene, formaldehyde, and tetrachloroethylene [TCE], bis(2-ethylhexyl) phthalate [DEHP], and bisphenol A [BPA]) that appear in three toxicological databases (i.e., Hazardous Substances Data Bank, Integrated Risk Information System, and the European Chemicals Agency databases). Results: Systemic reviews on 4160 data entries pertaining to eight chemicals in three databases revealed that only 13.5% of these were sourced from male and female combined (MF) studies, whereas, 40.6% of the total number of examined entries was sourced from the study in which the sex of the subject was not mentioned. Conclusions: To accurately evaluate the hazardous effect of chemicals, toxicity tests should be designed and conducted for both sexes, and the corresponding endpoints should cover gender concerns. Therefore, databases listing toxicity data as part of the open source literature should select information from MF toxicity and epidemiology studies.
