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http://dx.doi.org/10.4103/ijo.IJO_2175_19 | DOI Listing |
Genome Integr
January 2025
Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Artificial intelligence (AI) offers a broad range of enhancements in medicine. Machine learning and deep learning techniques have shown significant potential in improving diagnosis and treatment outcomes, from assisting clinicians in diagnosing medical images to ascertaining effective drugs for a specific disease. Despite the prospective benefits, adopting AI in clinical settings requires careful consideration, particularly concerning data generalisation and model explainability.
View Article and Find Full Text PDFDiabetes Care
February 2025
Center for the Study of Aging and Human Development, Duke University, Durham, NC.
AJR Am J Roentgenol
January 2025
Chairman of Radiology Med Star Health.
Health Econ Rev
January 2025
Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy.
Background: In their interesting systematic review, Gallehzan et al. quoted our article Cost-utility analysis of teriflunomide in naïve vs. previously treated patients with relapsing-remitting multiple sclerosis (RRMS) in Italy.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
School of Computer Science, University of Technology Sydney, Sydney, Australia.
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. This paper explores the utility and implications of generalist conversational artificial intelligence (CAI) advanced AI systems trained on extensive datasets to handle a wide range of conversational tasks across various domains with human-like responsiveness. The specific focus is on the application of generalist CAI within messaging services, emphasizing its potential to enhance public health communication.
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