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| http://dx.doi.org/10.3233/ADR-240006 | DOI Listing |
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Ensuring trustworthiness is fundamental to the development of artificial intelligence (AI) that is considered societally responsible, particularly in cancer diagnostics, where a misdiagnosis can have dire consequences. Current digital pathology AI models lack systematic solutions to address trustworthiness concerns arising from model limitations and data discrepancies between model deployment and development environments. To address this issue, we developed TRUECAM, a framework designed to ensure both data and model trustworthiness in non-small cell lung cancer subtyping with whole-slide images.
View Article and Find Full Text PDFMen's views on factors contributing to their poor health-seeking behaviour in Limpopo Province, South Africa.
BMC Public Health
January 2025
Department of Public Health, Faculty of Health Sciences, University of Venda, University Rd, Thohoyandou, South Africa.
Background: The reasons for men not to seek healthcare seem similar across the world. They avoid going for regular medical check-ups, and preventive care and often disregard symptoms or delay seeking medical attention when sick, in pain, or even when their lives are in danger.
Methods: This study sought to explore the views of men on factors contributing to poor health-seeking behavior among men in Mopani, Vhembe, and Capricorn district municipalities in Limpopo Province.
In Web We Trust: The Promised Cannabidiol Effects on Obesity as a Matter of Language and Marketing on Webpages.
Curr Neuropharmacol
January 2025
Department of Health Sciences, University of Catanzaro 'Magna Græcia', Viale Europa, 88100 Catanzaro, Italy.
Background: Today more and more people search the web for health-related information, risking to come across misinformation and biased content that may affect their treatment decisions. Cannabidiol (CBD) is among the products for which beneficial effects have been claimed, often at the expense of the risks; further keeping in mind unreliable information reported on products themselves.
Objective: This study evaluated the quality of information retrieved by Google on the potential effects of CBD on weight management, also comparing Italian and English contents, hypothesizing generally low quality and language-driven differences in offered information.
Towards secure and trusted AI in healthcare: A systematic review of emerging innovations and ethical challenges.
Int J Med Inform
December 2024
Neurosurgery Department, Hamad General Hospital, Qatar; Department of Clinical Academic Sciences, College of Medicine, Qatar University, Doha, Qatar; Department of Neurological Sciences, Weill Cornell Medicine, Doha, Qatar.
Introduction: Artificial Intelligence is in the phase of health care, with transformative innovations in diagnostics, personalized treatment, and operational efficiency. While having potential, critical challenges are apparent in areas of safety, trust, security, and ethical governance. The development of these challenges is important for promoting the responsible adoption of AI technologies into healthcare systems.
View Article and Find Full Text PDFNavigating Awareness and Strategies to Support Dementia Advocacy on Social Media During World Alzheimer's Month: Infodemiology Study.
JMIR Infodemiology
December 2024
Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
Background: Understanding advocacy strategies is essential to improving dementia awareness, reducing stigma, supporting cognitive health promotion, and influencing policy to support people living with dementia. However, there is a dearth of evidence-based research on advocacy strategies used to support dementia awareness.
Objective: This study aimed to use posts from X (formerly known as Twitter) to understand dementia advocacy strategies during World Alzheimer's Awareness Month in September 2022.
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