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| http://dx.doi.org/10.1177/0033354920949532 | DOI Listing |
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Judges versus artificial intelligence in juror decision-making in criminal trials: Evidence from two pre-registered experiments.
PLoS One
January 2025
Center for International Education and Exchange, Osaka University, Suita, Osaka, Japan.
Background: Artificial intelligence (AI) is anticipated to play a significant role in criminal trials involving citizen jurors. Prior studies have suggested that AI is not widely preferred in ethical decision-making contexts, but little research has compared jurors' reliance on judgments by human judges versus AI in such settings.
Objectives: This study examined whether jurors are more likely to defer to judgments by human judges or AI, especially in cases involving mitigating circumstances in which human-like reasoning may be valued.
Studying gender in the experiences of patients with heart failure: A scoping review of qualitative studies and methodological recommendations.
Womens Health (Lond)
January 2025
Department of Ethics Law and Humanities, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Background: Considering how gendered experiences play a role in the lives of patients with heart failure (HF) is critical in order to understand their experiences, optimise clinical care and reduce health inequalities.
Objectives: The aim of our study was to review how gender is being studied in qualitative research in HF, specifically to (1) analyse how gender is conceptualised and applied in qualitative HF research; and (2) identify methodological opportunities to better understand the gendered experiences of patients with HF.
Eligibility Criteria: We conducted a systematic search of literature, including qualitive or mixed-methods articles focussing on patients' perspectives in HF and using gender as a primary analytical factor, excluding articles published before 2000.
A Political Economy Analysis of Health Policymaking in Nigeria: The Genesis of the 2014 National Health Act.
Health Policy Plan
January 2025
Results for Development (R4D), Nigeria Country Office, 2nd Floor, 12 TOS Benson Crescent off Okonjo-Iweala Way, Utako, Abuja, Nigeria; Email:
This article explores the ideologies, interests, and institutions affecting health policymaking in Nigeria, and the role of the private sector therein. It covers the period from the late-1950s, the years leading up to independence, to 2014, when the country enacted its first-ever law to govern its healthcare system. The National Health Act (NHAct) was adopted after a decade of preparation and civil society-driven advocacy, making the objective of Universal Health Coverage (UHC) explicit.
View Article and Find Full Text PDFExperiences of children waiting to be adopted: a qualitative study.
Psychiatr Psychol Law
January 2024
Facolta di Economia, Universitas Mercatorum, Rome, Italy.
This qualitative study explores the emotional and social experiences of 10 children, aged 6-11, residing in foster care before adoption for almost three years. Through semi-structured interviews, the study underlined the needs and expectations of these children, highlighting the necessity for a deeper reflection on the role of foster homes as nurturing and educational communities. The study emphasizes the significance of foster homes in meeting children's autonomy and affection needs, both crucial for overall development.
View Article and Find Full Text PDFAssessing the disconnect between student interest and education in artificial intelligence in medicine in Saudi Arabia.
BMC Med Educ
January 2025
Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Background: Although artificial intelligence (AI) has gained increasing attention for its potential future impact on clinical practice, medical education has struggled to stay ahead of the developing technology. The question of whether medical education is fully preparing trainees to adapt to potential changes from AI technology in clinical practice remains unanswered, and the influence of AI on medical students' career preferences remains unclear. Understanding the gap between students' interest in and knowledge of AI may help inform the medical curriculum structure.
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