SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Beyond the stereotypes: Artificial Intelligence image generation and diversity in anesthesiology
15 references·0 citing·44 second hop
Beyond the stereotypes: Artificial Intelligence image generation and diversity in anesthesiology (2024)Beyond the stereotypes: Artificial Intell…The Notorious GPT: science communication in the age of artificial intelligence (2023)The Notorious GPT: science co…Profiling health professionals’ personality traits, behaviour styles and emotional intelligence: a systematic review (2023)Profiling health professional…Demographic Representation in 3 Leading Artificial Intelligence Text-to-Image Generators (2023)Demographic Representation in…Bias in AI-based models for medical applications: challenges and mitigation strategies (2023)Bias in AI-based models for m…An adversarial training framework for mitigating algorithmic biases in clinical machine learning (2023)An adversarial training frame…Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning (2023)Algorithmic fairness and bias…AI revolution in healthcare and medicine and the (re-)emergence of inequalities and disadvantages for ageing population (2023)AI revolution in healthcare a…Exposing implicit biases and stereotypes in human and artificial intelligence: state of the art and challenges with a focus on gender (2022)Exposing implicit biases and …Perceptions of gender equity in departmental leadership, research opportunities, and clinical work attitudes: an international survey of 11 781 anaesthesiologists (2020)Perceptions of gender equity …Priorities and challenges for health leadership and workforce management globally: a rapid review (2019)Priorities and challenges for…Racial/ethnic discrimination and well-being during adolescence: A meta-analytic review. (2018)Racial/ethnic discrimination …An examination of generational stereotypes as a path towards reverse ageism. (2017)An examination of generationa…The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies (2008)The Strengthening the Reporti…The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies (2007)The Strengthening the Reporti…Understanding and addressing racial disparities in health care. (2000)Understanding and addressing …Measuring Social Class in US Public Health Research: Concepts, Methodologies, and Guidelines (1997)Racial Residential Segregation: A Fundamental Cause of Racial Disparities in Health (2001)Racial residential segregation: A fundamental cause of racial disparities in health (2001)Defining Cultural Competence: A Practical Framework for Addressing Racial/Ethnic Disparities in Health and Health Care (2003)Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement (1999)The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials (2001)Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups (2007)Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)A power primer. (1992)Measuring inconsistency in meta-analyses (2003)Daily multidimensional racial discrimination among Black U.S. American adolescents (2019)Understanding how discrimination can affect health (2019)COVID-19 Racism and Mental Health in Chinese American Families (2020)Introduction to Meta‐Analysis (2021)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Leadership and Management Competencies for Hospital Managers: A Systematic Review and Best-Fit Framework Synthesis (2020)Where Do Models for Change Management, Improvement and Implementation Meet? A Systematic Review of the Applications of Change Management Models in Healthcare (2021)Healthcare leaders navigating complexity: a scoping review of key trends in future roles and competencies (2024)Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range (2014)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement (2015)The PRISMA 2020 statement: An updated guideline for reporting systematic reviews (2021)Fairness through awareness (2012)Mitigating Unwanted Biases with Adversarial Learning (2018)A Survey on Bias and Fairness in Machine Learning (2021)AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)A scoping review and evidence gap analysis of clinical AI fairness (2025)Artificial intelligence and algorithmic bias: implications for health systems (2019)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Ethical Considerations in Artificial Intelligence Interventions for Mental Health and Well-Being: Ensuring Responsible Implementation and Impact (2024)Generative artificial intelligence in mental health care: potential benefits and current challenges (2024)The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2024)Can AI Help Reduce Disparities in General Medical and Mental Health Care? (2019)Bias Mitigation via Synthetic Data Generation: A Review (2024)Sociodemographic bias in clinical machine learning models: a scoping review of algorithmic bias instances and mechanisms (2024)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women * (2022)Gender bias in generative artificial intelligence text-to-image depiction of medical students (2024)Representation of intensivists’ race/ethnicity, sex, and age by artificial intelligence: a cross-sectional study of two text-to-image models (2024)Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement (2015)Assessing the quality of studies in meta-analyses: Advantages and limitations of the Newcastle Ottawa Scale (2017)Physical, psychological and occupational consequences of job burnout: A systematic review of prospective studies (2017)
this work references cited by second hop

References

  • 2007The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies22,917 cited
  • 2008The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies17,743 cited
  • 2018Racial/ethnic discrimination and well-being during adolescence: A meta-analytic review.880 cited
  • 2000Understanding and addressing racial disparities in health care.580 cited
  • 2019Priorities and challenges for health leadership and workforce management globally: a rapid review375 cited
  • 2023Bias in AI-based models for medical applications: challenges and mitigation strategies371 cited
  • 2023An adversarial training framework for mitigating algorithmic biases in clinical machine learning159 cited
  • 2023Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning142 cited
  • 2023Profiling health professionals’ personality traits, behaviour styles and emotional intelligence: a systematic review86 cited
  • 2023Demographic Representation in 3 Leading Artificial Intelligence Text-to-Image Generators85 cited
  • 2022Exposing implicit biases and stereotypes in human and artificial intelligence: state of the art and challenges with a focus on gender82 cited
  • 2020Perceptions of gender equity in departmental leadership, research opportunities, and clinical work attitudes: an international survey of 11 781 anaesthesiologists78 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2023
The Notorious GPT: science communication in the age of artificial intelligence
72 cited
  • 2017An examination of generational stereotypes as a path towards reverse ageism.58 cited
  • 2023AI revolution in healthcare and medicine and the (re-)emergence of inequalities and disadvantages for ageing population38 cited
  • Cited by

    No citing works inside the corpus for this window.