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Background: The integration of gender and sexuality awareness in health care is increasingly recognized as vital for patient outcomes. Despite this, there is a notable lack of comprehensive data on the current state of physicians' training and perceptions in these areas, leading to a gap in targeted educational interventions and optimal health care delivery. Objective: The study's aim was to explore the experiences and perceptions of attending and resident physicians regarding the inclusion of gender and sexuality content in medical school curricula and professional practice in Israel. Methods: This cross-sectional survey targeted a diverse group of physicians across various specializations and experience levels. Distributed through Israeli Medical Associations and professional networks, it included sections on experiences with gender and sexuality content, perceptions of knowledge, the impact of medical school curricula on professional capabilities, and views on integrating gender medicine in medical education. Descriptive and correlational analyses, along with gender-based and medical status-based comparisons, were used, complemented, and enhanced by qualitative analysis of participants' replies. Results: The survey, encompassing 189 respondents, revealed low-to-moderate exposure to gender and sexuality content in medical school curricula, with a similar perception of preparedness. A need for more comprehensive training was widely recognized. The majority valued training in these areas for enhancing professional capabilities, identifying 10 essential gender-related knowledge areas. The preference for integrating gender medicine throughout medical education was significant. Gender-based analysis indicated variations in exposure and perceptions. Conclusions: The study highlights a crucial need for the inclusion of gender and sexuality awareness in medical education and practice. It suggests the necessity for curriculum development, targeted training programs, policy advocacy, mentorship initiatives, and research to evaluate the effectiveness of these interventions. The findings serve as a foundation for future directions in medical education, aiming for a more inclusive, aware, and prepared medical workforce. [ABSTRACT FROM AUTHOR]

Aim. This study aims to assess the dentofacial characteristics for a sample of palestinian population with skeletal Class II malocclusion. Methods. A total of 170 lateral cephalograms for non-growing patients (age ranged between 19 and 32 years) with skeletal Class II malocclusion were retrieved. The lateral cephalograms were analyzed using virtual cephalometric analysis software - WeDoCeph® (Audax®, Ljubljana, Slovenia) to assess sagittal and vertical Skeletal parameters including SNA, SNB, ANB, SN/Mandibular Plane angle SN/Go-Gn, FMA and the Y axis angle were measured. Moreover, the upper and lower dental angular parameters (Maxillary incisor long axis with Sella - Nasion line (U1-SN), Maxillary incisor long axis with Nasion - point A angular (U1-A Point), Mandibular incisor long axis with mandibular plane (L1- MP), Mandibular incisor with nasion-point B (L1- NB) angular were also measured. The mean and standard deviation for each measurement were calculated using the Statistical Package for Social Sciences (Minitab) for Windows. Gender differences were analyzed using the independent t-test. Results. One-hundred and seventy lateral cephalometric radiographs were retrieved and analyzed. The Class II skeletal value (ANB value of 6.7 degrees) was mainly due to retrognathic mandible (SNB 75.5 degrees) rather than prognathic maxilla (SNA 82.2 degrees). In the vertical dimension, the Y axis angle, SN/Go-Gn angle, and FMA were generally increased. Regarding the dental parameters, the upper incisors were mostly retroclined, while the lower incisors were mostly proclined. There was a significant gender difference in two parameters (SN/Go-Gn and the L1-MP), where females showed more vertical growth and more lower incisors proclination. Conclusions. Skeletal class II malocclusion in the studied sample was characterized by retrognathic mandible, increased vertical growth, and compensated upper and lower incisors. Compared with male subjects, females significantly had more vertical growth and more lower incisor proclination. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic has significantly strained health care systems globally, leading to an overwhelming influx of patients and exacerbating resource limitations. Concurrently, an "infodemic" of misinformation, particularly prevalent in women's health, has emerged. This challenge has been pivotal for health care providers, especially gynecologists and obstetricians, in managing pregnant women's health. The pandemic heightened risks for pregnant women from COVID-19, necessitating balanced advice from specialists on vaccine safety versus known risks. In addition, the advent of generative artificial intelligence (AI), such as large language models (LLMs), offers promising support in health care. However, they necessitate rigorous testing., Objective: This study aimed to assess LLMs' proficiency, clarity, and objectivity regarding COVID-19's impacts on pregnancy., Methods: This study evaluates 4 major AI prototypes (ChatGPT-3.5, ChatGPT-4, Microsoft Copilot, and Google Bard) using zero-shot prompts in a questionnaire validated among 159 Israeli gynecologists and obstetricians. The questionnaire assesses proficiency in providing accurate information on COVID-19 in relation to pregnancy. Text-mining, sentiment analysis, and readability (Flesch-Kincaid grade level and Flesch Reading Ease Score) were also conducted., Results: In terms of LLMs' knowledge, ChatGPT-4 and Microsoft Copilot each scored 97% (32/33), Google Bard 94% (31/33), and ChatGPT-3.5 82% (27/33). ChatGPT-4 incorrectly stated an increased risk of miscarriage due to COVID-19. Google Bard and Microsoft Copilot had minor inaccuracies concerning COVID-19 transmission and complications. In the sentiment analysis, Microsoft Copilot achieved the least negative score (-4), followed by ChatGPT-4 (-6) and Google Bard (-7), while ChatGPT-3.5 obtained the most negative score (-12). Finally, concerning the readability analysis, Flesch-Kincaid Grade Level and Flesch Reading Ease Score showed that Microsoft Copilot was the most accessible at 9.9 and 49, followed by ChatGPT-4 at 12.4 and 37.1, while ChatGPT-3.5 (12.9 and 35.6) and Google Bard (12.9 and 35.8) generated particularly complex responses., Conclusions: The study highlights varying knowledge levels of LLMs in relation to COVID-19 and pregnancy. ChatGPT-3.5 showed the least knowledge and alignment with scientific evidence. Readability and complexity analyses suggest that each AI's approach was tailored to specific audiences, with ChatGPT versions being more suitable for specialized readers and Microsoft Copilot for the general public. Sentiment analysis revealed notable variations in the way LLMs communicated critical information, underscoring the essential role of neutral and objective health care communication in ensuring that pregnant women, particularly vulnerable during the COVID-19 pandemic, receive accurate and reassuring guidance. Overall, ChatGPT-4, Microsoft Copilot, and Google Bard generally provided accurate, updated information on COVID-19 and vaccines in maternal and fetal health, aligning with health guidelines. The study demonstrated the potential role of AI in supplementing health care knowledge, with a need for continuous updating and verification of AI knowledge bases. The choice of AI tool should consider the target audience and required information detail level., (©Nicola Luigi Bragazzi, Michèle Buchinger, Hisham Atwan, Ruba Tuma, Francesco Chirico, Lukasz Szarpak, Raymond Farah, Rola Khamisy-Farah. Originally published in JMIR Formative Research (https://formative.jmir.org), 05.02.2025.)