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Chinese Oncologists’ Perspectives on Integrating AI into Clinical Practice: Cross-Sectional Survey Study

Chinese Oncologists’ Perspectives on Integrating AI into Clinical Practice: Cross-Sectional Survey Study

Respondents expressed their level of concern regarding aspects of implementing AI in health care, with key findings summarized based on the analysis of recurrent themes in their selection of responses from the available multiple-choice options (Table 2).

Ming Li, XiaoMin Xiong, Bo Xu, Conan Dickson

JMIR Form Res 2024;8:e53918

Discussions and Misinformation About Electronic Nicotine Delivery Systems and COVID-19: Qualitative Analysis of Twitter Content

Discussions and Misinformation About Electronic Nicotine Delivery Systems and COVID-19: Qualitative Analysis of Twitter Content

Another study examining Twitter data found that individuals who tweeted about ENDS during the pandemic expressed more concern about COVID-19 deaths compared to those who did not tweet about ENDS [19], but an in-depth qualitative analysis into the content of these tweets was not conducted.

Jaime E Sidani, Beth Hoffman, Jason B Colditz, Riley Wolynn, Lily Hsiao, Kar-Hai Chu, Jason J Rose, Ariel Shensa, Esa Davis, Brian Primack

JMIR Form Res 2022;6(4):e26335

Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study

Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study

In such a situation (where some segments of the population are highly motivated to search actively for information while others are not), the relative frequency of searches related to different topics does not appear to provide a good representation of the level of public concern or interest in these topics. Our findings regarding the frequency of online searches related to COVID-19 vaccine myths or conspiracy theories can be similarly interpreted.

Lawrence An, Daniel M Russell, Rada Mihalcea, Elizabeth Bacon, Scott Huffman, Ken Resnicow

JMIR Infodemiology 2021;1(1):e32127