Towards Responsible AI in Recommender Systems
One of the most interesting success stories of Artificial Intelligence (AI) is the employment of recommender systems (RSs) by companies like Netflix, YouTube, and Amazon. The recommendation systems have evolved over time due to ongoing research in this field, and they are now frequently capable of making astoundingly effective suggestions.
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The Impact of Expectation Management and Model Transparency on Radiologists' Trust and Utilization of AI Recommendations for Lung Nodule Assessment on Computed Tomography: Simulated Use Study. [PDF]
Ewals LJS +10 more
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[Supporting medical and nursing activities with AI: recommendations for responsible design and use]. [PDF]
Bratan T +8 more
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How to Teach Generative Artificial Intelligence in Undergraduate Medical Education. [PDF]
Feigerlova E.
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Comparing AI Chatbots to Live Practitioners of Homeopathy: A Comparative Retrospective Study. [PDF]
Doherty R +4 more
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Practical Challenges for the Implementation of AI-Based Image Analysis in Ophthalmology Research: Insights and Recommendations from a Swiss Multicentric Study. [PDF]
Spitznagel T +7 more
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Evaluating automated or artificial intelligence search tools for evidence synthesis. [PDF]
Featherstone R.
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Knowledge, Perception, and Willingness to Use Artificial Intelligence for Personalized Health Recommendations Among Undergraduate Health Students: A Cross-Sectional Study. [PDF]
Almulhem M +8 more
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Balancing global standards and regional nuances in breast cancer care: the role of guidelines, clinical research, precision medicine, and artificial intelligence in advancing quality of care for patients worldwide. [PDF]
Gnant M.
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Report of the twelfth WHOPES working group meeting: WHO/HQ, Geneva, 8-11 December 2008: review of Bioflash® GR, Permanet® 2.0, Permanet® 3.0, Permanet® 2.5, Lambda-Cyhalothrin LN [PDF]
Chandre, F. +13 more
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