Exploring Knowledge, Attitudes, and Practices Towards Artificial Intelligence among Health Professions’ Students in Jordan

The integration of Artificial Intelligence (AI) in medical education and practice is a significant development. This study examined the Knowledge, Attitudes, and Practices (KAP) of health professions' students in Jordan concerning AI, providing insights into their preparedness and perceptions. An online questionnaire was distributed to 483 Jordanian health professions' students via social media. Demographic data, AI-related KAP, and barriers were collected. Quantile regression models analyzed associations between variables and KAP scores. Moderate AI knowledge was observed among participants, with specific understanding of data requirements and barriers. Attitudes varied, combining skepticism about AI replacing human teachers with recognition of its value. While AI tools were used for specific tasks, broader integration in medical education and practice was limited. Barriers included lack of knowledge, access, time constraints, and curriculum gaps. This study highlights the need to enhance medical education with AI topics and address barriers. Students need to be better prepared for AI integration, in order to enable medical education to harness AI's potential for improved patient care and training. [Abstract copyright: © 2023. The Author(s).

Knowledge and Attitude towards Vaginoplasty and Perineoplasty among Jordanian females

Introduction: The global rise in female genital cosmetic surgery (FGCS), such as vaginoplasty and perineoplasty, has raised concerns about their safety and effectiveness. Therefore, the present study aimed to address this gap by assessing Jordanian females’ knowledge and attitude towards vaginoplasty and perineoplasty. Study design: a cross-sectional online survey was conducted among 522 Jordanian females aged 18 or older. Methods: quantile regression models were built to determine variables associated with females’ knowledge and attitude toward vaginoplasty and perineoplasty. Results: low level of knowledge regarding vaginoplasty/perineoplasty, despite positive attitudes toward the surgeries was observed. There was a significant association between knowledge level and both age and occupation. Likewise, attitude level showed a significant association with age and socioeconomic status. Discussion: The findings highlight the importance of targeted educational campaigns to improve awareness of these procedures and the associated risks. Physician-patient communication should be evaluated to ensure informed decision-making

Knowledge and Attitude towards Vaginoplasty and Perineoplasty among Jordanian females

Introduction: The global rise in female genital cosmetic surgery (FGCS), such as vaginoplasty and perineoplasty, has raised concerns about their safety and effectiveness. Therefore, the present study aimed to address this gap by assessing Jordanian females’ knowledge and attitude towards vaginoplasty and perineoplasty. Study design: a cross-sectional online survey was conducted among 522 Jordanian females aged 18 or older. Methods: quantile regression models were built to determine variables associated with females’ knowledge and attitude toward vaginoplasty and perineoplasty. Results: low level of knowledge regarding vaginoplasty/perineoplasty, despite positive attitudes toward the surgeries was observed. There was a significant association between knowledge level and both age and occupation. Likewise, attitude level showed a significant association with age and socioeconomic status. Discussion: The findings highlight the importance of targeted educational campaigns to improve awareness of these procedures and the associated risks. Physician-patient communication should be evaluated to ensure informed decision-making

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population