Machine-learning algorithms are transforming healthcare diagnostics and prognostics. However, they sometimes underperform for groups underrepresented in their training data. Vandersluis and Savulescu have suggested selectively deploying these algorit...
Studies in health technology and informatics
Aug 7, 2025
This study explores the governance challenges and opportunities associated with the implementation and use of AI in healthcare, offering practical insights informed by extensive stakeholder interviews. By analyzing perspectives from academia, governm...
Studies in health technology and informatics
Aug 7, 2025
BACKGROUND: As the potential of artificial intelligence (AI) in healthcare (HC) grows, so too does the number of potential risks, which has contributed to the development of regulations at national and international level that specifically address tr...
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Aug 1, 2025
The historical development of artificial intelligence (AI) in healthcare since the 1960s shows a transformation from simple rule-based systems to complex, data-driven approaches. Early applications focused on decision support, while innovative system...
BACKGROUND: Digitalization in urology is bringing about profound changes. While artificial intelligence (AI)-supported diagnoses, telemedical consultations and electronic patient files offer promising advances, challenges remain in the areas of techn...
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2025
IMPORTANCE: The US healthcare system faces significant challenges, including clinician burnout, operational inefficiencies, and concerns about patient safety. Artificial intelligence (AI), particularly generative AI, has the potential to address thes...
International journal of medical informatics
Jul 1, 2025
BACKGROUND: Artificial Intelligence (AI) is increasingly being integrated into healthcare to improve diagnostics, treatment planning, and operational efficiency. However, its adoption raises significant concerns related to data privacy, ethical integ...
BACKGROUND: Artificial intelligence (AI) holds potential to enhance health systems worldwide. However, its implementation in health systems in Southeast Asia (SEA)-a region of diverse geopolitical and socioeconomic development-has been understudied.
BACKGROUND: Artificial intelligence (AI) is transforming healthcare, but concerns about algorithmic biases and ethical challenges hinder patient acceptance. This study examined the effects of proactive versus passive algorithmic ethics practices on p...
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